diff --git a/.github/ISSUE_TEMPLATE/bug.yml b/.github/ISSUE_TEMPLATE/bug.yml
new file mode 100644
index 0000000..8d4565b
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/bug.yml
@@ -0,0 +1,52 @@
+name: Bug Report
+description: File a bug report
+title: "[Title here. keep it short]"
+labels: ["bug"]
+assignees:
+ - octocat
+body:
+ - type: markdown
+ attributes:
+ value: |
+ Thanks for taking the time to fill out this bug report!
+ One second before you create, search if it's already created [issues](https://github.com/thewh1teagle/vibe/issues?q=is:issue+label:bug+)
+
+ Also, you can try enable debug mode by set `debug: true` in the creation of the struct and rerun to see more logs.
+
+ - type: textarea
+ id: what-happened
+ attributes:
+ label: What happened?
+ description: Also tell us, what did you expect to happen?
+ placeholder: Tell us what you see!
+ value: "A bug happened!"
+ validations:
+ required: true
+ - type: textarea
+ id: steps-to-reproduce
+ attributes:
+ label: Steps to reproduce
+ description: Also tell us, what did you expect to happen?
+ placeholder: Tell us what you see!
+ value: |
+ 1. Step one...
+ 2. Step two...
+ validations:
+ required: true
+ - type: dropdown
+ id: browsers
+ attributes:
+ label: What OS are you seeing the problem on?
+ multiple: true
+ options:
+ - Window
+ - Linux
+ - MacOS
+ - type: textarea
+ id: logs
+ attributes:
+ label: Relevant log output
+ description: |
+ Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
+
+ render: shell
diff --git a/.github/ISSUE_TEMPLATE/feature.yml b/.github/ISSUE_TEMPLATE/feature.yml
new file mode 100644
index 0000000..622eca2
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature.yml
@@ -0,0 +1,22 @@
+name: Feature request
+description: Suggest an idea for this project
+title: '[Title here. keep it short]'
+labels: ['feature']
+assignees:
+ - thewh1teagle
+body:
+ - type: markdown
+ attributes:
+ value: |
+ 💚💜 Thank you for interest. ❤️💛
+ *Please prioritize checking existing issues first*. [bugs](https://github.com/thewh1teagle/sherpa-rs/issues?q=is:issue+label:bug+)
+ I will repay with higher-quality code.
+
+ - type: textarea
+ id: describe-the-feature
+ attributes:
+ label: Describe the feature
+ description: Also tell us why you think it useful
+ placeholder: Description...
+ validations:
+ required: true
\ No newline at end of file
diff --git a/scripts/setup_cuda.ps1 b/.github/scripts/setup_cuda.ps1
similarity index 100%
rename from scripts/setup_cuda.ps1
rename to .github/scripts/setup_cuda.ps1
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 205dae5..bdbd9a2 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -39,15 +39,15 @@ jobs:
options: ""
- platform: "windows-latest" # Windows Cuda
- options: '--features "cuda"'
+ options: '--features "cuda" --no-default-features'
cuda-version: "12.5.0"
- platform: "windows-latest" # Windows Cuda
- options: '--features "cuda"'
+ options: '--features "cuda" --no-default-features'
cuda-version: "11.8.0"
- platform: "windows-latest" # Windows DirectML
- options: '--features "directml"'
+ options: '--features "directml" --no-default-features'
- platform: "ubuntu-22.04" # Linux Cuda
options: '--features "cuda"'
cuda-version: "12.4.1"
@@ -58,7 +58,7 @@ jobs:
submodules: "true"
- name: Setup cuda for Windows
- run: scripts/setup_cuda.ps1
+ run: .github/scripts/setup_cuda.ps1
env:
INPUT_CUDA_VERSION: ${{ matrix.cuda-version }}
if: matrix.platform == 'windows-latest' && contains(matrix.options, 'cuda')
@@ -88,11 +88,6 @@ jobs:
run: |
cargo build ${{ matrix.options }} ${{ github.event.inputs.cargo_args }}
- - name: Modify shared libraries path
- if: contains(matrix.platform, 'ubuntu') && contains(matrix.options, 'cuda')
- run: |
- echo "LD_LIBRARY_PATH=$PWD/target/debug:$LD_LIBRARY_PATH" >> $GITHUB_ENV
-
- name: Test Whisper
# Github actions doesn't have Nvidia GPUs
if: contains(matrix.options, 'cuda') != true
diff --git a/.gitignore b/.gitignore
index 05e190a..623f251 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,3 +1,4 @@
+.idea
target/
*.onnx
*.onnx.*
@@ -6,7 +7,24 @@ tokens.txt
venv/
vits-piper*
*.wav
+*.vocab
!samples/*.wav
*.bz2
sherpa-onnx-whisper*
-*.txt
\ No newline at end of file
+sherpa-onnx-pyannote-*
+sherpa-onnx-zipformer-*
+sherpa-onnx-moonshine-*
+*.txt
+!checksum.txt
+sherpa-onnx-v*
+jniLibs
+!sys/dist.txt
+sherpa-onnx-punct*
+vits-*
+sherpa-onnx-kws-*
+.tmp/
+jniLibs/
+build/
+kokoro-en-*/
+matcha-*
+kokoro-multi-lang-v1_0/
\ No newline at end of file
diff --git a/.gitmodules b/.gitmodules
index 8931e17..b834818 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,3 +1,3 @@
-[submodule "sys/sherpa-onnx"]
- path = sys/sherpa-onnx
+[submodule "crates/sherpa-rs-sys/sherpa-onnx"]
+ path = crates/sherpa-rs-sys/sherpa-onnx
url = https://github.com/k2-fsa/sherpa-onnx
diff --git a/.vscode/c_cpp_properties.json b/.vscode/c_cpp_properties.json
deleted file mode 100644
index 955c52b..0000000
--- a/.vscode/c_cpp_properties.json
+++ /dev/null
@@ -1,21 +0,0 @@
-{
- "configurations": [
- {
- "name": "Mac",
- "includePath": [
- "${default}",
- "${workspaceFolder}/sys/sherpa-onnx",
- "${workspaceFolder}/sys/sherpa-onnx/build/_deps/**"
- ],
- "defines": [],
- "macFrameworkPath": [
- "/Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer/SDKs/MacOSX.sdk/System/Library/Frameworks"
- ],
- "compilerPath": "/usr/bin/clang",
- "cStandard": "c17",
- "cppStandard": "c++17",
- "intelliSenseMode": "macos-clang-arm64"
- }
- ],
- "version": 4
-}
\ No newline at end of file
diff --git a/.vscode/settings.json b/.vscode/settings.json
deleted file mode 100644
index 0f3165e..0000000
--- a/.vscode/settings.json
+++ /dev/null
@@ -1,4 +0,0 @@
-{
- "editor.formatOnSave": true,
- // "rust-analyzer.check.command": "clippy"
-}
\ No newline at end of file
diff --git a/BUILDING.md b/BUILDING.md
index c524e27..cdda9d3 100644
--- a/BUILDING.md
+++ b/BUILDING.md
@@ -11,10 +11,19 @@ sudo apt-get update
sudo apt-get install -y pkg-config build-essential clang cmake
```
+### Windows
+
+For convenience, I recommend installing these packages.
+Additionally, when using wget to run examples, use `wget.exe` instead.
+
+```console
+winget install llvm
+```
+
### Prepare repository
```console
-git clone https://github.com/thewh1teagle/sherpa-rs --recursive
+git clone --recursive https://github.com/thewh1teagle/sherpa-rs
cd sherpa-rs
```
@@ -32,6 +41,50 @@ cargo build --release
4. Restart your shell!!!
5. Cargo build
+### Compile with prebuild sherpa-onnx manually (For fast compilation)
+
+Note: sherpa-onnx already download and cache the sherpa-onnx binaries. You can do this manually instead.
+Note: to link sherpa-onnx libs dynamically set `SHERPA_BUILD_SHARED_LIBS` to `1`.
+Note: you should disable rust-analyzer while doing this. otherwise it will rebuild it with different environment variable on each save which will take long.... time.
+Note: on Linux when linking statically you should set this env: `RUSTFLAGS="-C relocation-model=dynamic-no-pic"`
+
+
+macOS (arm64/x86-64)
+
+```console
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.28/sherpa-onnx-v1.10.28-osx-universal2-static.tar.bz2
+tar xf sherpa-onnx-v1.10.28-osx-universal2-static.tar.bz2
+export SHERPA_LIB_PATH="$(pwd)/sherpa-onnx-v1.10.28-osx-universal2-static"
+cargo build
+```
+
+
+
+
+Windows (x86-64)
+
+```console
+wget.exe https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.28/sherpa-onnx-v1.10.28-win-x64-static.tar.bz2
+tar.exe xf sherpa-onnx-v1.10.28-win-x64-static.tar.bz2
+$env:SHERPA_LIB_PATH="$pwd/sherpa-onnx-v1.10.28-win-x64-static"
+cargo build
+```
+
+
+
+
+Linux (x86-64)
+
+```console
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/v1.10.28/sherpa-onnx-v1.10.28-linux-x64-static.tar.bz2
+tar xf sherpa-onnx-v1.10.28-linux-x64-static.tar.bz2
+export SHERPA_LIB_PATH="$(pwd)/sherpa-onnx-v1.10.28-linux-x64-static"
+export RUSTFLAGS="-C relocation-model=dynamic-no-pic"
+cargo build
+```
+
+
+
### Resample wav file for 16khz
```console
@@ -43,10 +96,16 @@ ffmpeg -i -ar 16000 -ac 1 -c:a pcm_s16le
```console
cd sys/sherpa-onnx
git pull origin master
+git checkout
```
### Gotachas
+On Linux you should set `RUSTFLAGS="-C relocation-model=dynamic-no-pic"`
+
+
+When using GPU such as DirectML or Cuda
+
---
When running `--example` with dynamic libraries eg. with `directml` or `cuda` you need to have the DLLs from `target` folder in PATH.
@@ -58,15 +117,154 @@ copy target\debug\examples\transcribe.exe target\debug
target\debug\transcribe.exe motivation.wav
```
+When building with cuda you should use cuda `11.x`
+In addition install `cudnn` with `sudo apt install nvidia-cudnn`
+
+
+
+
+Whisper limits
+
---
Currently whisper can transcribe only chunks of 30s max.
---
-When building with cuda you should use cuda `11.x`
-In addition install `cudnn` with `sudo apt install nvidia-cudnn`
+
+
+
+Static linking failed on Windows
+
+You can resolve it by creating `.cargo/config.toml` next to `Cargo.toml` with the following:
+
+```toml
+[target.'cfg(windows)']
+rustflags = ["-C target-feature=+crt-static"]
+```
+
+Or set the environment variable `RUSTFLAGS` to `-C target-feature=+crt-static`
+
+If it doesn't help make sure all of your dependencies also links MSVC runtime statically.
+You can inspect the build with the following:
+
+1. Set `RUSTC_LOG` to `rustc_codegen_ssa::back::link=info`
+2. Build with
+
+```console
+cargo build -vv
+```
+
+Since there's a lot of output, it's good idea to pipe it to file and check later:
+
+```console
+cargo build -vv >log.txt 2>&1
+```
+
+Look for the flags `/MD` (Meaning it links it dynamically) and `/MT` or `-MT` (Meaning it links it statically). See [MSVC_RUNTIME_LIBRARY](https://cmake.org/cmake/help/latest/prop_tgt/MSVC_RUNTIME_LIBRARY.html) and [pyannote-rs/issues/1](https://github.com/thewh1teagle/pyannote-rs/issues/1)
+
+
+
+
+Fix build issues with build flags
+
+Controlling build flags
+Please see `env::var` calls in `build.rs`.
+
+
+
+
+Cmake error: path exceeded
+
+Cmake filed with error about maxium paths exceeded. eg. `The fully qualified file name must be less than 260 characters.`
+
+1. Open PowerShell as admin and execute:
+
+```powershell
+New-ItemProperty -Path "HKLM:\SYSTEM\CurrentControlSet\Control\FileSystem" `
+-Name "LongPathsEnabled" -Value 1 -PropertyType DWORD -Force
+```
+
+2. Restart PC
+
+
+
+### Shared library not found while it's in the same directly of executable
+
+Modify the shared librarie and binary files to load other shared libraries located in the same folder.
+
+```console
+patchelf --set-rpath '$ORIGIN' /path/to/binary/or/shared/library.so
+```
### Debug build
-For debug the build process of sherpa-onnx, please set `BUILD_DEBUG=1` environment variable before build.
+For debug the build process of sherpa-onnx, please set `SHERPA_BUILD_DEBUG=1` environment variable before build.
+
+## Release new version
+
+```console
+gh release create v0.4.1 --title v0.4.1 --generate-notes
+```
+
+## Calculate sha256 for dist table
+
+```console
+shasum -a 256 | tr 'a-z' 'A-Z'
+```
+
+## See debug log from build
+
+```
+SHERPA_BUILD_DEBUG=1 cargo build -vv
+```
+
+## Build for Android
+
+You must install NDK from Android Studio settings.
+
+```console
+rustup target add aarch64-linux-android
+cargo install cargo-ndk
+export NDK_HOME="$HOME/Library/Android/sdk/ndk/27.0.12077973" # ls $HOME/Library/Android/sdk/ndk/
+cargo ndk -t arm64-v8a build --release
+```
+
+## Build for IOS
+
+Install Xcode command line tools
+
+```console
+xcode-select --install
+```
+
+Install toolchain
+
+```console
+# IOS
+rustup target add aarch64-apple-ios
+# Intel chip emulator
+rustup target add x86_64-apple-ios
+# Apple chip emulator
+rustup target add aarch64-apple-ios-sim
+```
+
+Build
+
+```console
+export RUSTFLAGS="-C link-arg=-fapple-link-rtlib" # See https://github.com/bmrlab/gendam/issues/96
+cargo build --release --target aarch64-apple-ios
+```
+
+## Build for Windows arm64
+
+1. Install toolchain in Visual Studio
+
+Open Visual Studio Installer, go to Individual Components, search ARM64, select MSVC v[version] - ARM64 build tools, and click Modify.
+
+1. Build
+
+```console
+rustup target add aarch64-pc-windows-msvc
+cargo build --no-default-features --target aarch64-pc-windows-msvc --release
+```
\ No newline at end of file
diff --git a/Cargo.lock b/Cargo.lock
index 1912a0b..a0befbf 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -2,6 +2,12 @@
# It is not intended for manual editing.
version = 4
+[[package]]
+name = "adler2"
+version = "2.0.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "320119579fcad9c21884f5c4861d16174d0e06250625266f50fe6898340abefa"
+
[[package]]
name = "aho-corasick"
version = "1.1.3"
@@ -11,32 +17,11 @@ dependencies = [
"memchr",
]
-[[package]]
-name = "alsa"
-version = "0.9.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "37fe60779335388a88c01ac6c3be40304d1e349de3ada3b15f7808bb90fa9dce"
-dependencies = [
- "alsa-sys",
- "bitflags 2.6.0",
- "libc",
-]
-
-[[package]]
-name = "alsa-sys"
-version = "0.3.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "db8fee663d06c4e303404ef5f40488a53e062f89ba8bfed81f42325aafad1527"
-dependencies = [
- "libc",
- "pkg-config",
-]
-
[[package]]
name = "anstream"
-version = "0.6.14"
+version = "0.6.20"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "418c75fa768af9c03be99d17643f93f79bbba589895012a80e3452a19ddda15b"
+checksum = "3ae563653d1938f79b1ab1b5e668c87c76a9930414574a6583a7b7e11a8e6192"
dependencies = [
"anstyle",
"anstyle-parse",
@@ -49,57 +34,52 @@ dependencies = [
[[package]]
name = "anstyle"
-version = "1.0.7"
+version = "1.0.11"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "038dfcf04a5feb68e9c60b21c9625a54c2c0616e79b72b0fd87075a056ae1d1b"
+checksum = "862ed96ca487e809f1c8e5a8447f6ee2cf102f846893800b20cebdf541fc6bbd"
[[package]]
name = "anstyle-parse"
-version = "0.2.4"
+version = "0.2.7"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c03a11a9034d92058ceb6ee011ce58af4a9bf61491aa7e1e59ecd24bd40d22d4"
+checksum = "4e7644824f0aa2c7b9384579234ef10eb7efb6a0deb83f9630a49594dd9c15c2"
dependencies = [
"utf8parse",
]
[[package]]
name = "anstyle-query"
-version = "1.1.0"
+version = "1.1.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ad186efb764318d35165f1758e7dcef3b10628e26d41a44bc5550652e6804391"
+checksum = "9e231f6134f61b71076a3eab506c379d4f36122f2af15a9ff04415ea4c3339e2"
dependencies = [
- "windows-sys 0.52.0",
+ "windows-sys 0.60.2",
]
[[package]]
name = "anstyle-wincon"
-version = "3.0.3"
+version = "3.0.10"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "61a38449feb7068f52bb06c12759005cf459ee52bb4adc1d5a7c4322d716fb19"
+checksum = "3e0633414522a32ffaac8ac6cc8f748e090c5717661fddeea04219e2344f5f2a"
dependencies = [
"anstyle",
- "windows-sys 0.52.0",
+ "once_cell_polyfill",
+ "windows-sys 0.60.2",
]
[[package]]
-name = "anyhow"
-version = "1.0.86"
+name = "base64"
+version = "0.22.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b3d1d046238990b9cf5bcde22a3fb3584ee5cf65fb2765f454ed428c7a0063da"
-
-[[package]]
-name = "autocfg"
-version = "1.3.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0c4b4d0bd25bd0b74681c0ad21497610ce1b7c91b1022cd21c80c6fbdd9476b0"
+checksum = "72b3254f16251a8381aa12e40e3c4d2f0199f8c6508fbecb9d91f575e0fbb8c6"
[[package]]
name = "bindgen"
-version = "0.69.4"
+version = "0.69.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a00dc851838a2120612785d195287475a3ac45514741da670b735818822129a0"
+checksum = "271383c67ccabffb7381723dea0672a673f292304fcb45c01cc648c7a8d58088"
dependencies = [
- "bitflags 2.6.0",
+ "bitflags",
"cexpr",
"clang-sys",
"itertools",
@@ -118,44 +98,54 @@ dependencies = [
[[package]]
name = "bitflags"
-version = "1.3.2"
+version = "2.9.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bef38d45163c2f1dde094a7dfd33ccf595c92905c8f8f4fdc18d06fb1037718a"
+checksum = "2261d10cca569e4643e526d8dc2e62e433cc8aba21ab764233731f8d369bf394"
[[package]]
-name = "bitflags"
-version = "2.6.0"
+name = "block-buffer"
+version = "0.10.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b048fb63fd8b5923fc5aa7b340d8e156aec7ec02f0c78fa8a6ddc2613f6f71de"
+checksum = "3078c7629b62d3f0439517fa394996acacc5cbc91c5a20d8c658e77abd503a71"
+dependencies = [
+ "generic-array",
+]
[[package]]
-name = "bumpalo"
-version = "3.16.0"
+name = "byteorder"
+version = "1.5.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "79296716171880943b8470b5f8d03aa55eb2e645a4874bdbb28adb49162e012c"
+checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
[[package]]
-name = "bytes"
-version = "1.7.1"
+name = "bzip2"
+version = "0.4.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8318a53db07bb3f8dca91a600466bdb3f2eaadeedfdbcf02e1accbad9271ba50"
+checksum = "bdb116a6ef3f6c3698828873ad02c3014b3c85cadb88496095628e3ef1e347f8"
+dependencies = [
+ "bzip2-sys",
+ "libc",
+]
[[package]]
-name = "cc"
-version = "1.1.0"
+name = "bzip2-sys"
+version = "0.1.13+1.0.8"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "eaff6f8ce506b9773fa786672d63fc7a191ffea1be33f72bbd4aeacefca9ffc8"
+checksum = "225bff33b2141874fe80d71e07d6eec4f85c5c216453dd96388240f96e1acc14"
dependencies = [
- "jobserver",
- "libc",
- "once_cell",
+ "cc",
+ "pkg-config",
]
[[package]]
-name = "cesu8"
-version = "1.1.0"
+name = "cc"
+version = "1.2.37"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6d43a04d8753f35258c91f8ec639f792891f748a1edbd759cf1dcea3382ad83c"
+checksum = "65193589c6404eb80b450d618eaf9a2cafaaafd57ecce47370519ef674a7bd44"
+dependencies = [
+ "find-msvc-tools",
+ "shlex",
+]
[[package]]
name = "cexpr"
@@ -168,9 +158,9 @@ dependencies = [
[[package]]
name = "cfg-if"
-version = "1.0.0"
+version = "1.0.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
+checksum = "2fd1289c04a9ea8cb22300a459a72a385d7c73d3259e2ed7dcb2af674838cfa9"
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+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e7aa2bd55086f1ab526693ecbe444205da57e25f4489879da80635a46d90e73b"
+dependencies = [
+ "yoke",
+ "zerofrom",
+ "zerovec-derive",
+]
+
+[[package]]
+name = "zerovec-derive"
+version = "0.11.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "5b96237efa0c878c64bd89c436f661be4e46b2f3eff1ebb976f7ef2321d2f58f"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn",
]
diff --git a/Cargo.toml b/Cargo.toml
index c7b50e2..c4a4556 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -1,42 +1,4 @@
-[package]
-name = "sherpa-rs"
-version = "0.1.8-beta.3"
-edition = "2021"
-authors = ["thewh1teagle"]
-license = "MIT"
-repository = "https://github.com/thewh1teagle/sherpa-rs"
-description = "Rust bindings to https://github.com/k2-fsa/sherpa-onnx"
-readme = "README.md"
-keywords = [
- "audio",
- "embeddings",
- "speech-recognition",
- "sherpa",
- "diarization",
-]
-
-[dependencies]
-eyre = "0.6.12"
-hound = { version = "3.5.1" }
-log = "0.4.22"
-num-traits = "0.2.19"
-sherpa-rs-sys = { path = "sys", version = "0.1.8-beta.1" }
-
-[dev-dependencies]
-clap = { version = "4.5.8", features = ["derive"] }
-cpal = "0.15.3"
-anyhow = "*"
-
[workspace]
-members = ["sys"]
-
-[features]
-default = []
-tts = ["sherpa-rs-sys/tts"]
-cuda = ["sherpa-rs-sys/cuda"]
-directml = ["sherpa-rs-sys/directml"]
-
-
-[[example]]
-name = "tts"
-required-features = ["tts"]
+resolver = "2"
+members = ["crates/sherpa-rs", "crates/sherpa-rs-sys"]
+exclude = ["examples/tauri-app/src-tauri"]
diff --git a/README.md b/README.md
index b609d30..a6bd2b9 100644
--- a/README.md
+++ b/README.md
@@ -9,15 +9,21 @@ Rust bindings to [sherpa-onnx](https://github.com/k2-fsa/sherpa-onnx)
- Spoken language detection
- Speaker embedding (labeling)
+- Speaker diarization
- Speech to text
- Text to speech
+- Text punctuation
- Voice activity detection
+- Audio tagging
+- Keyword spotting
## Supported Platforms
- Windows
- Linux
- macOS
+- Android
+- IOS
## Install
@@ -34,11 +40,20 @@ Please see [BUILDING.md](BUILDING.md).
- `cuda`: enable CUDA support
- `directml`: enable DirectML support
- `tts`: enable TTS
+- `download-binaries`: use prebuilt sherpa-onnx libraries for faster builds. cached.
+- `static`: use static sherpa-onnx libraries and link them statically.
+- `sys`: expose raw c bindings (sys crate)
-## Docs
+## Documentation
-See [sherpa/intro.html](https://k2-fsa.github.io/sherpa/intro.html)
+For the documentation on `sherpa_rs`, please visit [docs.rs/sherpa_rs](https://docs.rs/sherpa-rs/latest/sherpa_rs).
+
+For documentation on `sherpa-onnx`, refer to the [sherpa/intro.html](https://k2-fsa.github.io/sherpa/intro.html).
## Examples
See [examples](examples)
+
+## Models
+
+All pretrained models available at [sherpa/onnx/pretrained_models](https://k2-fsa.github.io/sherpa/onnx/pretrained_models/index.html)
diff --git a/sys/.gitignore b/crates/sherpa-rs-sys/.gitignore
similarity index 100%
rename from sys/.gitignore
rename to crates/sherpa-rs-sys/.gitignore
diff --git a/sys/Cargo.toml b/crates/sherpa-rs-sys/Cargo.toml
similarity index 52%
rename from sys/Cargo.toml
rename to crates/sherpa-rs-sys/Cargo.toml
index c517f0c..08b4877 100644
--- a/sys/Cargo.toml
+++ b/crates/sherpa-rs-sys/Cargo.toml
@@ -1,6 +1,6 @@
[package]
name = "sherpa-rs-sys"
-version = "0.1.8-beta.3"
+version = "0.6.6"
edition = "2021"
authors = ["thewh1teagle"]
homepage = "https://github.com/thewh1teagle/sherpa-rs"
@@ -27,18 +27,46 @@ include = [
"sherpa-onnx/CMakeLists.txt",
"sherpa-onnx/LICENSE",
"sherpa-onnx/.clang*",
- "src/*.rs",
+ "src/",
"build.rs",
"wrapper.h",
+ "dist.json",
+ "checksum.txt",
]
[build-dependencies]
bindgen = "0.69.4"
cmake = "0.1"
glob = "0.3.1"
+lazy_static = { version = "1.5.0" }
+
+# Download binaries
+ureq = { version = "2.1", optional = true, default-features = false, features = [
+ "tls",
+ "socks-proxy",
+] }
+tar = { version = "0.4", optional = true }
+bzip2 = { version = "0.4.4", optional = true, features = ["static"] }
+flate2 = { version = "1.0", optional = true }
+sha2 = { version = "0.10", optional = true }
+dirs = { version = "5.0.1", optional = true }
+serde_json = { version = "1.0.134", optional = true }
+serde = { version = "1.0.216", features = ["derive"], optional = true }
+
[features]
-default = []
+default = ["download-binaries"]
+download-binaries = [
+ "dep:ureq",
+ "dep:tar",
+ "dep:bzip2",
+ "dep:flate2",
+ "dep:sha2",
+ "dep:dirs",
+ "dep:serde_json",
+ "dep:serde",
+]
+static = []
tts = []
cuda = []
directml = []
diff --git a/crates/sherpa-rs-sys/build.rs b/crates/sherpa-rs-sys/build.rs
new file mode 100644
index 0000000..aafc0e5
--- /dev/null
+++ b/crates/sherpa-rs-sys/build.rs
@@ -0,0 +1,559 @@
+use cmake::Config;
+use glob::glob;
+use std::collections::HashMap;
+use std::env;
+use std::fs;
+use std::path::{Path, PathBuf};
+use std::process::Command;
+
+#[path = "src/download_binaries.rs"]
+#[cfg(feature = "download-binaries")]
+mod download_binaries;
+
+macro_rules! debug_log {
+ ($($arg:tt)*) => {
+ // SHERPA_BUILD_DEBUG=1 cargo build
+ if std::env::var("SHERPA_BUILD_DEBUG").unwrap_or_default() == "1" {
+ println!("cargo:warning=[DEBUG] {}", format!($($arg)*));
+ }
+ };
+}
+
+lazy_static::lazy_static! {
+ // clang --print-targets
+ // rustc --print target-list
+ static ref RUST_CLANG_TARGET_MAP: HashMap = {
+ let mut m = HashMap::new();
+ m.insert("aarch64-linux-android".to_string(), "armv8-linux-androideabi".to_string());
+ m.insert("aarch64-apple-ios-sim".to_string(), "arm64-apple-ios-simulator".to_string());
+ m
+ };
+}
+
+fn link_lib(lib: &str, is_dynamic: bool) {
+ let lib_kind = if is_dynamic { "dylib" } else { "static" };
+ debug_log!("cargo:rustc-link-lib={}={}", lib_kind, lib);
+ println!("cargo:rustc-link-lib={}={}", lib_kind, lib);
+}
+
+fn link_framework(framework: &str) {
+ debug_log!("cargo:rustc-link-lib=framework={}", framework);
+ println!("cargo:rustc-link-lib=framework={}", framework);
+}
+
+fn add_search_path>(path: P) {
+ debug_log!("cargo:rustc-link-search={}", path.as_ref().display());
+ println!("cargo:rustc-link-search={}", path.as_ref().display());
+}
+
+fn copy_file(src: PathBuf, dst: PathBuf) {
+ if let Err(err) = std::fs::hard_link(&src, &dst) {
+ debug_log!("Failed to hardlink {:?}. fallback to copy.", err);
+ fs::copy(&src, &dst)
+ .unwrap_or_else(|_| panic!("Failed to copy {} to {}", src.display(), dst.display()));
+ }
+}
+
+fn get_cargo_target_dir() -> Result> {
+ let out_dir = std::path::PathBuf::from(std::env::var("OUT_DIR")?);
+ let profile = std::env::var("PROFILE")?;
+ let mut target_dir = None;
+ let mut sub_path = out_dir.as_path();
+ while let Some(parent) = sub_path.parent() {
+ if parent.ends_with(&profile) {
+ target_dir = Some(parent);
+ break;
+ }
+ sub_path = parent;
+ }
+ let target_dir = target_dir.ok_or("not found")?;
+ Ok(target_dir.to_path_buf())
+}
+
+fn delete_folder(src: &Path) -> std::io::Result<()> {
+ if src.exists() {
+ fs::remove_dir_all(src)?;
+ }
+ Ok(())
+}
+
+fn copy_folder(src: &Path, dst: &Path) {
+ std::fs::create_dir_all(dst).expect("Failed to create dst directory");
+ if cfg!(windows) {
+ std::process::Command::new("robocopy.exe")
+ .arg("/e")
+ .arg(src)
+ .arg(dst)
+ .status()
+ .expect("Failed to execute robocopy command");
+ } else {
+ std::process::Command::new("cp")
+ .arg("-rf")
+ .arg(src)
+ .arg(dst.parent().unwrap())
+ .status()
+ .expect("Failed to execute cp command");
+ }
+}
+
+fn extract_lib_names(out_dir: &Path, is_dynamic: bool, target_os: &str) -> Vec {
+ let lib_pattern = if target_os == "windows" {
+ "*.lib"
+ } else if target_os == "macos" {
+ if is_dynamic {
+ "*.dylib"
+ } else {
+ "*.a"
+ }
+ } else if
+ // Linux, Android
+ is_dynamic {
+ "*.so"
+ } else {
+ "*.a"
+ };
+
+ let libs_dir = out_dir.join("lib");
+ let pattern = libs_dir.join(lib_pattern);
+ debug_log!("Extract libs {}", pattern.display());
+
+ let mut lib_names: Vec = Vec::new();
+
+ // Process the libraries based on the pattern
+ for entry in glob(pattern.to_str().unwrap()).unwrap() {
+ match entry {
+ Ok(path) => {
+ let stem = path.file_stem().unwrap();
+ let stem_str = stem.to_str().unwrap();
+
+ // Remove the "lib" prefix if present
+ let lib_name = if stem_str.starts_with("lib") {
+ stem_str.strip_prefix("lib").unwrap_or(stem_str)
+ } else {
+ stem_str
+ };
+ lib_names.push(lib_name.to_string());
+ }
+ Err(e) => println!("cargo:warning=error={}", e),
+ }
+ }
+ lib_names
+}
+
+fn extract_lib_assets(out_dir: &Path, target_os: &str) -> Vec {
+ let shared_lib_pattern = if target_os == "windows" {
+ "*.dll"
+ } else if target_os == "macos" {
+ "*.dylib"
+ } else {
+ "*.so"
+ };
+
+ let libs_dir = out_dir.join("lib");
+ let pattern = libs_dir.join(shared_lib_pattern);
+ debug_log!("Extract lib assets {}", pattern.display());
+ let mut files = Vec::new();
+
+ for entry in glob(pattern.to_str().unwrap()).unwrap() {
+ match entry {
+ Ok(path) => {
+ files.push(path);
+ }
+ Err(e) => eprintln!("cargo:warning=error={}", e),
+ }
+ }
+
+ files
+}
+
+fn macos_link_search_path() -> Option {
+ let output = Command::new("clang")
+ .arg("--print-search-dirs")
+ .output()
+ .ok()?;
+ if !output.status.success() {
+ println!(
+ "failed to run 'clang --print-search-dirs', continuing without a link search path"
+ );
+ return None;
+ }
+
+ let stdout = String::from_utf8_lossy(&output.stdout);
+ for line in stdout.lines() {
+ if line.contains("libraries: =") {
+ let path = line.split('=').nth(1)?;
+ return Some(format!("{}/lib/darwin", path));
+ }
+ }
+
+ println!("failed to determine link search path, continuing without it");
+ None
+}
+
+fn rerun_on_env_changes(vars: &[&str]) {
+ for env in vars {
+ println!("cargo::rerun-if-env-changed={}", env);
+ }
+}
+
+fn rerun_if_changed(vars: &[&str]) {
+ for var in vars {
+ println!("cargo:rerun-if-changed={}", var);
+ }
+}
+
+fn main() {
+ rerun_if_changed(&["wrapper.h", "dist.json", "checksum.txt", "./sherpa-onnx"]);
+ rerun_on_env_changes(&[
+ "SHERPA_BUILD_SHARED_LIBS",
+ "CMAKE_BUILD_PARALLEL_LEVEL",
+ "CMAKE_VERBOSE",
+ "SHERPA_LIB_PATH",
+ "SHERPA_STATIC_CRT",
+ "SHERPA_LIB_PROFILE",
+ "BUILD_DEBUG",
+ ]);
+
+ let target_os = env::var("CARGO_CFG_TARGET_OS").unwrap();
+ debug_log!("target_os = {}", target_os);
+
+ // Show warning if static enabled on Linux without RUSTFLAGS
+ #[cfg(all(
+ feature = "static",
+ target_os = "linux",
+ target_arch = "x86_64",
+ feature = "download-binaries"
+ ))]
+ {
+ if !env::var("RUSTFLAGS")
+ .unwrap_or_default()
+ .contains("relocation-model=dynamic-no-pic")
+ {
+ panic!(
+ "cargo:warning=\
+ Please enable the following environment variable when static feature enabled on Linux: RUSTFLAGS=\"-C relocation-model=dynamic-no-pic\""
+ )
+ }
+ }
+
+ let target = env::var("TARGET").unwrap();
+ let is_mobile = target.contains("android") || target.contains("ios");
+ debug_log!("TARGET: {:?}", target);
+ let out_dir = PathBuf::from(env::var("OUT_DIR").unwrap());
+
+ let target_dir = get_cargo_target_dir().unwrap();
+ let sherpa_dst = out_dir.join("sherpa-onnx");
+ let manifest_dir = env::var("CARGO_MANIFEST_DIR").expect("Failed to get CARGO_MANIFEST_DIR");
+ let sherpa_src = Path::new(&manifest_dir).join("sherpa-onnx");
+
+ // Dynamic by default
+ #[allow(unused_mut)]
+ let mut is_dynamic = if cfg!(feature = "static") {
+ false // Static feature is enabled
+ } else if cfg!(any(feature = "directml", feature = "cuda")) {
+ true // DirectML or CUDA feature is enabled
+ } else if let Ok(val) = env::var("SHERPA_BUILD_SHARED_LIBS") {
+ val == "1" // Environment variable determines dynamic state
+ } else {
+ true // Default to true
+ };
+
+ debug_log!("TARGET: {}", target);
+ debug_log!("CARGO_MANIFEST_DIR: {}", manifest_dir);
+ debug_log!("TARGET_DIR: {}", target_dir.display());
+ debug_log!("OUT_DIR: {}", out_dir.display());
+
+ // Prepare sherpa-onnx source
+ if !sherpa_dst.exists() {
+ debug_log!("Copy {} to {}", sherpa_src.display(), sherpa_dst.display());
+ delete_folder(&sherpa_src.join("scripts")).unwrap();
+ copy_folder(&sherpa_src, &sherpa_dst);
+ }
+ // Speed up build
+ env::set_var(
+ "CMAKE_BUILD_PARALLEL_LEVEL",
+ std::thread::available_parallelism()
+ .unwrap()
+ .get()
+ .to_string(),
+ );
+
+ // Bindings
+ if env::var("SHERPA_SKIP_GENERATE_BINDINGS").is_ok() {
+ debug_log!("Skip generate bindings");
+ std::fs::copy("src/bindings.rs", out_dir.join("bindings.rs"))
+ .expect("Failed to copy bindings.rs");
+ } else {
+ let mut bindings_builder = bindgen::Builder::default()
+ .header("wrapper.h")
+ .clang_arg(format!("-I{}", sherpa_dst.display()))
+ .parse_callbacks(Box::new(bindgen::CargoCallbacks::new()));
+
+ if let Some(clang_target) = RUST_CLANG_TARGET_MAP.get(&target) {
+ // Explicitly set target in case we are cross-compiling.
+ // See https://github.com/rust-lang/rust-bindgen/issues/1780 for context.
+ debug_log!("mapped clang target: {}", clang_target);
+ bindings_builder = bindings_builder.clang_arg(format!("--target={}", clang_target));
+ }
+
+ debug_log!("Generating bindings...");
+ let bindings_builder = bindings_builder
+ .generate()
+ .expect("Failed to generate bindings");
+
+ // Write the generated bindings to an output file
+ let bindings_path = out_dir.join("bindings.rs");
+
+ debug_log!("Writing bindings to {:?}", bindings_path);
+ bindings_builder
+ .write_to_file(bindings_path)
+ .expect("Failed to write bindings");
+ debug_log!("Bindings Created");
+ }
+
+ // Skip build when docs.rs website built this crate
+ // Only build the bindings.rs file.
+ if env::var("DOCS_RS") == Ok("1".to_string()) {
+ println!("cargo:warning=Detected DOCS_RS. Skipping build / fetch.");
+ return;
+ }
+
+ #[cfg(feature = "download-binaries")]
+ let mut optional_dist: Option = None;
+
+ let mut sherpa_libs: Vec = Vec::new();
+
+ #[cfg(feature = "download-binaries")]
+ {
+ // Download libraries, cache and set SHERPA_LIB_PATH
+ use download_binaries::{extract_tbz, fetch_file, get_cache_dir, sha256, DIST_TABLE};
+ debug_log!("Download binaries enabled");
+ // debug_log!("Dist table: {:?}", DIST_TABLE.targets);
+ // Try download sherpa libs and set SHERPA_LIB_PATH
+ if let Some(dist) = DIST_TABLE.get(&target, &mut is_dynamic) {
+ debug_log!("is_dynamic after: {}", is_dynamic);
+ optional_dist = Some(dist.clone());
+ let mut cache_dir = if let Some(dir) = get_cache_dir() {
+ dir.join(target.clone()).join(&dist.checksum)
+ } else {
+ println!("cargo:warning=Could not determine cache directory, using OUT_DIR");
+ PathBuf::from(env::var("OUT_DIR").unwrap())
+ };
+ if fs::create_dir_all(&cache_dir).is_err() {
+ println!("cargo:warning=Could not create cache directory, using OUT_DIR");
+ cache_dir = env::var("OUT_DIR").unwrap().into();
+ }
+ debug_log!("Cache dir: {}", cache_dir.display());
+
+ let lib_dir = cache_dir.join(&dist.name);
+
+ // if is mobile then check if cache dir not empty
+ // Sherpa uses special directory structure for mobile
+ let cache_dir_empty = cache_dir
+ .read_dir()
+ .map(|mut entries| entries.next().is_none())
+ .unwrap_or(true);
+
+ if (is_mobile && cache_dir_empty) || (!is_mobile && !lib_dir.exists()) {
+ let downloaded_file = fetch_file(&dist.url);
+ let hash = sha256(&downloaded_file);
+ // verify checksum
+ assert_eq!(
+ hash, dist.checksum,
+ "Checksum mismatch: {} != {}",
+ hash, dist.checksum
+ );
+
+ extract_tbz(&downloaded_file, &cache_dir);
+ } else {
+ debug_log!("Skip fetch file. Using cache from {}", lib_dir.display());
+ }
+
+ // In Android, we need to set SHERPA_LIB_PATH to the cache directory sincie it has jniLibs
+ if is_mobile {
+ env::set_var("SHERPA_LIB_PATH", &cache_dir);
+ } else {
+ env::set_var("SHERPA_LIB_PATH", cache_dir.join(&dist.name));
+ }
+
+ debug_log!("dist libs: {:?}", dist.libs);
+ if let Some(libs) = dist.libs {
+ for lib in libs.iter() {
+ let lib_path = cache_dir.join(lib);
+ let lib_parent = lib_path.parent().unwrap();
+ add_search_path(lib_parent);
+ }
+
+ sherpa_libs = libs
+ .iter()
+ .map(download_binaries::extract_lib_name)
+ .collect();
+ } else {
+ sherpa_libs = extract_lib_names(&lib_dir, is_dynamic, &target_os);
+ }
+ } else {
+ println!("cargo:warning=Failed to download binaries. fallback to manual build.");
+ }
+ }
+
+ if let Ok(sherpa_lib_path) = env::var("SHERPA_LIB_PATH") {
+ // Skip build if SHERPA_LIB_PATH specified
+ debug_log!("Skpping build with Cmake...");
+ debug_log!("SHERPA_LIB_PATH: {}", sherpa_lib_path);
+ add_search_path(Path::new(&sherpa_lib_path).join("lib"));
+ if sherpa_libs.is_empty() {
+ sherpa_libs = extract_lib_names(Path::new(&sherpa_lib_path), is_dynamic, &target_os);
+ }
+ } else {
+ // Build with CMake
+ let profile = env::var("SHERPA_LIB_PROFILE").unwrap_or("Release".to_string());
+ let static_crt = env::var("SHERPA_STATIC_CRT")
+ .map(|v| v == "1")
+ .unwrap_or(true);
+ let mut config = Config::new(&sherpa_dst);
+
+ config.define("CMAKE_POLICY_VERSION_MINIMUM", "3.5");
+
+ config
+ .define("SHERPA_ONNX_ENABLE_C_API", "ON")
+ .define("SHERPA_ONNX_ENABLE_BINARY", "OFF")
+ .define("BUILD_SHARED_LIBS", if is_dynamic { "ON" } else { "OFF" })
+ .define("SHERPA_ONNX_ENABLE_WEBSOCKET", "OFF")
+ .define("SHERPA_ONNX_ENABLE_TTS", "OFF")
+ .define("SHERPA_ONNX_BUILD_C_API_EXAMPLES", "OFF");
+
+ if target_os == "windows" {
+ config.static_crt(static_crt);
+ }
+
+ // TTS
+ if cfg!(feature = "tts") {
+ config.define("SHERPA_ONNX_ENABLE_TTS", "ON");
+ }
+
+ // Cuda https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html
+ if cfg!(feature = "cuda") {
+ debug_log!("Cuda enabled");
+ config.define("SHERPA_ONNX_ENABLE_GPU", "ON");
+ config.define("BUILD_SHARED_LIBS", "ON");
+ }
+
+ // DirectML https://onnxruntime.ai/docs/execution-providers/DirectML-ExecutionProvider.html
+ if cfg!(feature = "directml") {
+ debug_log!("DirectML enabled");
+ config.define("SHERPA_ONNX_ENABLE_DIRECTML", "ON");
+ config.define("BUILD_SHARED_LIBS", "ON");
+ }
+
+ if target_os == "windows" || target_os == "linux" || target == "android" {
+ config.define("SHERPA_ONNX_ENABLE_PORTAUDIO", "ON");
+ }
+
+ // General
+ config
+ .profile(&profile)
+ .very_verbose(std::env::var("CMAKE_VERBOSE").is_ok()) // Not verbose by default
+ .always_configure(false);
+
+ let build_dir = config.build();
+ add_search_path(&build_dir);
+
+ // Extract libs on desktop platforms
+ if !is_mobile {
+ sherpa_libs = extract_lib_names(&build_dir, is_dynamic, &target_os);
+ }
+ }
+
+ // Linking
+
+ debug_log!("Sherpa libs: {:?}", sherpa_libs);
+ add_search_path(out_dir.join("lib"));
+
+ for lib in sherpa_libs {
+ if lib.contains("cxx") {
+ continue;
+ }
+ link_lib(&lib, is_dynamic);
+ }
+
+ // Windows debug
+ if cfg!(all(debug_assertions, windows)) {
+ link_lib("msvcrtd", true);
+ }
+
+ // macOS
+ if target_os == "macos" || target_os == "ios" {
+ link_framework("CoreML");
+ link_framework("Foundation");
+ link_lib("c++", true);
+ }
+
+ // Linux
+ if target_os == "linux" || target == "android" {
+ link_lib("stdc++", true);
+ }
+
+ // macOS
+ if target_os == "macos" {
+ // On (older) OSX we need to link against the clang runtime,
+ // which is hidden in some non-default path.
+ //
+ // More details at https://github.com/alexcrichton/curl-rust/issues/279.
+ if let Some(path) = macos_link_search_path() {
+ add_search_path(path);
+ link_lib("clang_rt.osx", is_dynamic);
+ }
+ }
+
+ // Copy dynamic libraries
+
+ if is_dynamic {
+ let mut libs_assets = extract_lib_assets(&out_dir, &target_os);
+ if let Ok(sherpa_lib_path) = env::var("SHERPA_LIB_PATH") {
+ libs_assets.extend(extract_lib_assets(Path::new(&sherpa_lib_path), &target_os));
+ }
+
+ #[cfg(feature = "download-binaries")]
+ if let Some(dist) = optional_dist {
+ if let Some(assets) = dist.libs {
+ if let Ok(sherpa_lib_path) = env::var("SHERPA_LIB_PATH") {
+ let sherpa_lib_path = Path::new(&sherpa_lib_path);
+ libs_assets.extend(assets.iter().map(|p| sherpa_lib_path.join(p)));
+ }
+ }
+ }
+
+ for asset in libs_assets {
+ let asset_clone = asset.clone();
+ let filename = asset_clone.file_name().unwrap();
+ let filename = filename.to_str().unwrap();
+ let dst = target_dir.join(filename);
+ // debug_log!("HARD LINK {} TO {}", asset.display(), dst.display());
+ if !dst.exists() {
+ copy_file(asset.clone(), dst);
+ }
+
+ // Copy DLLs to examples as well
+ if target_dir.join("examples").exists() {
+ let dst = target_dir.join("examples").join(filename);
+ // debug_log!("HARD LINK {} TO {}", asset.display(), dst.display());
+ if !dst.exists() {
+ copy_file(asset.clone(), dst);
+ }
+ }
+
+ // Copy DLLs to target/profile/deps as well for tests
+ let dst = target_dir.join("deps").join(filename);
+ // debug_log!("HARD LINK {} TO {}", asset.display(), dst.display());
+ if !dst.exists() {
+ copy_file(asset.clone(), dst);
+ }
+ }
+
+ // TODO: add rpath for Android and iOS so it can find its dependencies in the same directory of executable
+ // if is_mobile {
+ // // Add rpath for Android and iOS so that the shared library can find its dependencies in the same directory as well
+ // println!("cargo:rustc-link-arg=-Wl,-rpath,'$ORIGIN'");
+ // }
+ }
+}
diff --git a/crates/sherpa-rs-sys/checksum.txt b/crates/sherpa-rs-sys/checksum.txt
new file mode 100644
index 0000000..ceb0e91
--- /dev/null
+++ b/crates/sherpa-rs-sys/checksum.txt
@@ -0,0 +1,82 @@
+sherpa-onnx-1.11.5-rknn.aar c9177e475f85e61922ced3d10277cb261a985c75007307cd01df39423710bce0
+sherpa-onnx-1.11.5.aar 1fd9dfefb19df233f868553e872e98b8bd636ac428c0a0b709bc1405bc7eafa0
+sherpa-onnx-non-streaming-asr-x64-v1.11.5.exe c049394c10beca44de540b3da6c81618b2c198efe53d87c471145c429294ec1c
+sherpa-onnx-non-streaming-asr-x86-v1.11.5.exe f72fb5ed449e90455a4de5b2c1548b5416daa117e067fc5a11ddf7d8a1306fc6
+sherpa-onnx-non-streaming-tts-x64-v1.11.5.exe 904c920fe6b500a455ac48832d1689d966a8bcf0b5eed26e62ce1bc6ba4a9df5
+sherpa-onnx-non-streaming-tts-x86-v1.11.5.exe 7c42aa3df603fe6186cb96c5301ab70d7bfbd0d4f9ef7ccb95f77ab33e89471c
+sherpa-onnx-static-link-onnxruntime-1.11.5.aar 5701bf4e6d4ff16c72cc58fd606e9d27e43ed6d72919216199451ddf673c78a4
+sherpa-onnx-streaming-asr-x64-v1.11.5.exe a0b6cfb44e9fde8cd78e516c59d59c1f7ac0bc82bfe76cca497452e218ca9a3d
+sherpa-onnx-streaming-asr-x86-v1.11.5.exe 4cba9b3a20abd87c5422869411c53a722622cdd82e768587b653f6b01a8f7460
+sherpa-onnx-v1.11.5-android-rknn.tar.bz2 4da67093851a44991eac90b1a1e6519db51ea62dd796cad3e1669a1880f24c14
+sherpa-onnx-v1.11.5-android-static-link-onnxruntime.tar.bz2 7e7f7d91617fa77361eb2fbfd9f90aa5d9b7a73be8764e64f6c0b90bcd71af34
+sherpa-onnx-v1.11.5-android.tar.bz2 76e21f461f9527d7ba46c0deb2dec035aaa87e78b8cb46ade883ac9d4d9b853b
+sherpa-onnx-v1.11.5-ios-no-tts.tar.bz2 84533a2d9287907178b68d0aeb0ae6939d4a109f34675d46655f2ff6d6185dc7
+sherpa-onnx-v1.11.5-ios.tar.bz2 7daf9111f30200416e504428ef457a9f60009ae67a2bd4e3bfb829f5d096fab5
+sherpa-onnx-v1.11.5-java11.jar 7b86e00abc8667d606bc94f47a954ebb9359fc7f764a227b644de3f3962a85ff
+sherpa-onnx-v1.11.5-java16.jar fe844835b8df5bb4e2973d12b172779ff961b3944fa6caed63fde3cbfd8d500c
+sherpa-onnx-v1.11.5-java17.jar 46826ae8972cb98a72e9437a2d31ca12c715ce31786e31a525d9db8b1b0265a7
+sherpa-onnx-v1.11.5-java18.jar 90504699e7e6a91dc3c2552c16759127d95f71ef3caf7c0c11b804a51e772cab
+sherpa-onnx-v1.11.5-java19.jar a1f4d27f77a1720328b0ce7aa149759b9dabe2ca2ccba52fc0d0cc3857e7c2e9
+sherpa-onnx-v1.11.5-java20.jar af3e213d29fc36ba2428d275aa7c6f5a8aeae9bbf794101397a1c240ccf30a54
+sherpa-onnx-v1.11.5-java21.jar 5a89cb1a48160703e78d4d66f4e61404c48493d1507f1529b0c1a67f7d472075
+sherpa-onnx-v1.11.5-java22.jar a6c49e60cf15efb341059593668d3fa34d42e03b695f4dfcc838cee196ca400c
+sherpa-onnx-v1.11.5-java23.jar 6dd7e9610c5ded573432e461a807ede2672714c9cca1982bf5e57827d7dc74f0
+sherpa-onnx-v1.11.5-java8.jar 3043da43f887f4ecea1aff05df70ea2b31a92d23a90131a3ea1165b35f3c12be
+sherpa-onnx-v1.11.5-linux-aarch64-jni.tar.bz2 12faa7a6fdf25748388713ea7e1bb8c9664372a6291a334a4a9ec4ea5f02f211
+sherpa-onnx-v1.11.5-linux-aarch64-shared-cpu.tar.bz2 18403204bd3dfbe303cc7785ff82449daaaf964ca4fa67ec94fa7be71308173d
+sherpa-onnx-v1.11.5-linux-aarch64-shared-gpu-onnxruntime-1.11.0.tar.bz2 f607b4e5fc6e02d08776ec4a1d4756aa6b8df2d98945c4b20450cf09e3ffa591
+sherpa-onnx-v1.11.5-linux-aarch64-shared-gpu-onnxruntime-1.16.0.tar.bz2 dea5c525647001f73262323cb048516010cd867404061a278b554a408dc82e25
+sherpa-onnx-v1.11.5-linux-aarch64-shared-gpu-onnxruntime-1.18.0.tar.bz2 9f0817095111f5edfab109a82967116ef15fad3076fabbe982a1eba74de135a5
+sherpa-onnx-v1.11.5-linux-aarch64-shared-gpu-onnxruntime-1.18.1.tar.bz2 a3493baaff5e4ef6d9c3413aadc9b5670df8612db7155ec53c292e9449ddd77e
+sherpa-onnx-v1.11.5-linux-aarch64-static.tar.bz2 818a78fd2c7b92df09c65a806087679368bb58df49d344172cf113ad95f2dcd1
+sherpa-onnx-v1.11.5-linux-riscv64-shared.tar.bz2 d5a02212c3b43f98682e7c088691acba23e1fa3ba4f86e186aeeaa525e3eaee6
+sherpa-onnx-v1.11.5-linux-x64-gpu.tar.bz2 01844c0534883cb9b4ae032f6b4500ecc9ce5f2031d5e9459fbdada9d1f6b8e9
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+sherpa-onnx-v1.11.5-linux-x64-shared-no-tts.tar.bz2 96d790688fbb422f6073b61a6298709e3a54ec94978450037c4ef2adacbd0bc2
+sherpa-onnx-v1.11.5-linux-x64-shared.tar.bz2 596962a9ca9b839fd80587cd20d859c2262132e08471a27406a1105635dca652
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+sherpa-onnx-v1.11.5-linux-x64-static.tar.bz2 c53d52615101b09610871ef66e34efc11e611b7d9b2ddd81468382b7efa72d16
+sherpa-onnx-v1.11.5-macos-xcframework-static.tar.bz2 fdff377597fb5ac0ef124b19a807bdcd512c44df2352942dd388f2d3b28210a4
+sherpa-onnx-v1.11.5-ohos-arm64-v8a.tar.bz2 3418b81d7dda64aa6fcb9212bf7240d132a102edfad059407ca9a316c2875039
+sherpa-onnx-v1.11.5-ohos-armeabi-v7a.tar.bz2 09d8195b6aa2a69b60f9a3ee61060822756a2af09371b7b6c719400ebf65be7c
+sherpa-onnx-v1.11.5-ohos-x86_64.tar.bz2 261b35d9b16772198487492e0d87bfcfb2cdc26abac166f9879a731d547c2ca1
+sherpa-onnx-v1.11.5-osx-arm64-jni.tar.bz2 e7e62cada2fd5510f114a191367a33de689a63f6aeb40ef0e652aca5b92c5c87
+sherpa-onnx-v1.11.5-osx-universal2-shared-no-tts.tar.bz2 5cf8ea5658751577b0b79f66a6969cb74efe66b8c4fb2ce4eb8341ccbfc78c76
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+sherpa-onnx-wasm-simd-v1.11.5-en-asr-zipformer.tar.bz2 2f6dae1df1f6d41e30a74a4931e724b6d4f3da548f0dbef18df9ac8aaaf1c8bd
+sherpa-onnx-wasm-simd-v1.11.5-en-tts.tar.bz2 6887019933848c143fb28ec1c09532f3418b3e497e801e04613e1f4faf22f16d
+sherpa-onnx-wasm-simd-v1.11.5-speaker-diarization.tar.bz2 45cc511cfcf334544d159399f149581c955a96cac9b2624888b1871657c9f819
+sherpa-onnx-wasm-simd-v1.11.5-speech-enhancement-gtcrn.tar.bz2 a231a75a2cb4f8b91c0d698b0bd7c7854c14056865affaf359064edda48e00c4
+sherpa-onnx-wasm-simd-v1.11.5-vad.tar.bz2 ca626fcf30fa6235324ef27daa4166359f925f4eb455182cf04c226f1d123b14
+sherpa-onnx-wasm-simd-v1.11.5-zh-cantonese-en-asr-paraformer.tar.bz2 96d056f3248702569833e641233e43cc32cff3e319c95e7f67f2165d6c63002c
+sherpa-onnx-wasm-simd-v1.11.5-zh-en-asr-paraformer.tar.bz2 305be043713097b1a475f1f7c0df005c1dece026c9e1347b4028919579e39eab
+sherpa-onnx-wasm-simd-v1.11.5-zh-en-asr-zipformer.tar.bz2 435e695b1df8e1fbee4a4144190876770bb3dbb6bca6137730de9040019a4148
+sherpa_onnx-v1.11.5.har 3c85d9feaa004c7d2ff0c1fc49f8c8ac37142c51c34cad79aa95efc631a3d361
diff --git a/crates/sherpa-rs-sys/dist.json b/crates/sherpa-rs-sys/dist.json
new file mode 100644
index 0000000..201aed7
--- /dev/null
+++ b/crates/sherpa-rs-sys/dist.json
@@ -0,0 +1,58 @@
+{
+ "tag": "v1.11.5",
+ "url": "https://github.com/k2-fsa/sherpa-onnx/releases/download/{tag}/{archive}",
+ "targets": {
+ "x86_64-pc-windows-msvc": {
+ "static": "sherpa-onnx-{tag}-win-x64-static.tar.bz2",
+ "dynamic": "sherpa-onnx-{tag}-win-x64-shared.tar.bz2"
+ },
+ "x86_64-unknown-linux-gnu": {
+ "static": "sherpa-onnx-{tag}-linux-x64-static.tar.bz2",
+ "dynamic": "sherpa-onnx-{tag}-linux-x64-shared.tar.bz2"
+ },
+ "aarch64-apple-darwin": {
+ "static": "sherpa-onnx-{tag}-osx-universal2-static.tar.bz2",
+ "dynamic": "sherpa-onnx-{tag}-osx-universal2-shared.tar.bz2"
+ },
+ "x86_64-apple-darwin": {
+ "static": "sherpa-onnx-{tag}-osx-universal2-static.tar.bz2",
+ "dynamic": "sherpa-onnx-{tag}-osx-universal2-shared.tar.bz2"
+ },
+ "android": {
+ "archive": "sherpa-onnx-{tag}-android.tar.bz2",
+ "is_dynamic": true,
+ "targets": {
+ "aarch64-linux-android": [
+ "jniLibs/arm64-v8a/libsherpa-onnx-c-api.so",
+ "jniLibs/arm64-v8a/libonnxruntime.so"
+ ],
+ "x86_64-linux-android": [
+ "jniLibs/x86_64/libsherpa-onnx-c-api.so",
+ "jniLibs/x86_64/libonnxruntime.so"
+ ],
+ "armv7-linux-androideabi": [
+ "jniLibs/armeabi-v7a/libsherpa-onnx-c-api.so",
+ "jniLibs/armeabi-v7a/libonnxruntime.so"
+ ]
+ }
+ },
+ "ios": {
+ "archive": "sherpa-onnx-{tag}-ios.tar.bz2",
+ "is_dynamic": false,
+ "targets": {
+ "aarch64-apple-ios": [
+ "build-ios/ios-onnxruntime/1.17.1/onnxruntime.xcframework/ios-arm64/libonnxruntime.a",
+ "build-ios/sherpa-onnx.xcframework/ios-arm64/libsherpa-onnx.a"
+ ],
+ "aarch64-apple-ios-sim": [
+ "build-ios/ios-onnxruntime/1.17.1/onnxruntime.xcframework/ios-arm64_x86_64-simulator/libonnxruntime.a",
+ "build-ios/sherpa-onnx.xcframework/ios-arm64_x86_64-simulator/libsherpa-onnx.a"
+ ],
+ "x86_64-apple-ios": [
+ "build-ios/ios-onnxruntime/1.17.1/onnxruntime.xcframework/ios-arm64_x86_64-simulator/libonnxruntime.a",
+ "build-ios/sherpa-onnx.xcframework/ios-arm64_x86_64-simulator/libsherpa-onnx.a"
+ ]
+ }
+ }
+ }
+}
\ No newline at end of file
diff --git a/crates/sherpa-rs-sys/sherpa-onnx b/crates/sherpa-rs-sys/sherpa-onnx
new file mode 160000
index 0000000..baec2da
--- /dev/null
+++ b/crates/sherpa-rs-sys/sherpa-onnx
@@ -0,0 +1 @@
+Subproject commit baec2da74524697f5c88ea6063d0c6fc06a72d36
diff --git a/crates/sherpa-rs-sys/src/download_binaries.rs b/crates/sherpa-rs-sys/src/download_binaries.rs
new file mode 100644
index 0000000..41af8bd
--- /dev/null
+++ b/crates/sherpa-rs-sys/src/download_binaries.rs
@@ -0,0 +1,258 @@
+use std::{
+ collections::HashMap,
+ path::{Path, PathBuf},
+};
+
+use serde::Deserialize;
+use serde_json::Value;
+
+// Prebuilt sherpa-onnx doesn't have Cuda support
+#[cfg(all(
+ any(target_os = "windows", target_os = "linux"),
+ feature = "download-binaries",
+ feature = "cuda"
+))]
+compile_error!(
+ "The 'download-binaries' and 'cuda' features cannot be enabled at the same time.\n\
+ To resolve this, please disable the 'download-binaries' feature when using 'cuda'.\n\
+ For example, in your Cargo.toml:\n\
+ [dependencies]\n\
+ sherpa-rs = { default-features = false, features = [\"cuda\"] }"
+);
+
+// Prebuilt sherpa-onnx doesn't have DirectML support
+#[cfg(all(windows, feature = "download-binaries", feature = "directml"))]
+compile_error!(
+ "The 'download-binaries' and 'directml' features cannot be enabled at the same time.\n\
+ To resolve this, please disable the 'download-binaries' feature when using 'directml'.\n\
+ For example, in your Cargo.toml:\n\
+ [dependencies]\n\
+ sherpa-rs = { default-features = false, features = [\"directml\"] }"
+);
+
+// Prebuilt sherpa-onnx does not include TTS in static builds.
+#[cfg(all(
+ windows,
+ feature = "download-binaries",
+ feature = "static",
+ feature = "tts"
+))]
+compile_error!(
+ "The 'download-binaries', 'static', and 'tts' features cannot be enabled at the same time.\n\
+ To resolve this, please disable the 'tts' feature when using 'static' and 'download-binaries' together.\n\
+ For example, in your Cargo.toml:\n\
+ [dependencies]\n\
+ sherpa-rs = { default-features = false, features = [\"static\", \"tts\"] }"
+);
+
+macro_rules! debug_log {
+ ($($arg:tt)*) => {
+ // SHERPA_BUILD_DEBUG=1 cargo build
+ if std::env::var("SHERPA_BUILD_DEBUG").unwrap_or_default() == "1" {
+ println!("cargo:warning=[DEBUG] {}", format!($($arg)*));
+ }
+ };
+}
+
+pub fn fetch_file(source_url: &str) -> Vec {
+ let resp = ureq::AgentBuilder::new()
+ .try_proxy_from_env(true)
+ .build()
+ .get(source_url)
+ .timeout(std::time::Duration::from_secs(1800))
+ .call()
+ .unwrap_or_else(|err| panic!("Failed to GET `{source_url}`: {err}"));
+
+ let len = resp
+ .header("Content-Length")
+ .and_then(|s| s.parse::().ok())
+ .expect("Content-Length header should be present on archive response");
+ debug_log!("Fetch file {} {}", source_url, len);
+ let mut reader = resp.into_reader();
+ let mut buffer = Vec::new();
+ reader
+ .read_to_end(&mut buffer)
+ .unwrap_or_else(|err| panic!("Failed to download from `{source_url}`: {err}"));
+ assert_eq!(buffer.len(), len);
+ buffer
+}
+
+static DIST_CONTENT: &str = include_str!("../dist.json");
+static DIST_CHECKSUM_CONTENT: &str = include_str!("../checksum.txt");
+lazy_static::lazy_static! {
+ pub static ref DIST_TABLE: DistTable = DistTable::new(DIST_CONTENT);
+ pub static ref DIST_CHECKSUM: HashMap = {
+ DIST_CHECKSUM_CONTENT
+ .lines()
+ .map(|line| {
+ let mut parts = line.split_whitespace();
+ let key = parts.next().unwrap().to_string();
+ let value = parts.next().unwrap().to_string();
+ (key, value)
+ })
+ .collect()
+ };
+}
+
+#[derive(Debug, Deserialize)]
+pub struct DistTable {
+ pub tag: String,
+ pub url: String,
+ pub targets: HashMap,
+}
+
+#[derive(Debug, Clone)]
+pub struct Dist {
+ pub url: String,
+ pub name: String,
+ pub checksum: String,
+ pub libs: Option>, // Paths to the extracted libraries
+}
+
+impl DistTable {
+ fn new(content: &str) -> Self {
+ let mut table: DistTable = serde_json::from_str(content)
+ .unwrap_or_else(|_| panic!("Failed to parse dist.json: {}", content));
+ table.url = table.url.replace("{tag}", &table.tag);
+ for value in table.targets.values_mut() {
+ // expand static with {tag}
+ if let Some(static_value) = value.get("static") {
+ let static_value = static_value.as_str().unwrap();
+ value["static"] = Value::String(static_value.replace("{tag}", &table.tag));
+ }
+ // expand dynamic with {tag}
+ if let Some(dynamic_value) = value.get("dynamic") {
+ let dynamic_value = dynamic_value.as_str().unwrap();
+ value["dynamic"] = Value::String(dynamic_value.replace("{tag}", &table.tag));
+ }
+ // expand archive with {tag}
+ if let Some(archive_value) = value.get("archive") {
+ let archive_value = archive_value.as_str().unwrap();
+ value["archive"] = Value::String(archive_value.replace("{tag}", &table.tag));
+ }
+ }
+ table
+ }
+
+ pub fn get(&self, target: &str, is_dynamic: &mut bool) -> Option {
+ debug_log!("Extracting dist for target: {}", target);
+ // debug_log!("dist table: {:?}", self);
+ let target_dist = if target.contains("android") {
+ self.targets.get("android").unwrap()
+ } else if target.contains("ios") {
+ self.targets.get("ios").unwrap()
+ } else {
+ self.targets
+ .get(target)
+ .unwrap_or_else(||
+ panic!("Target {} not found. try to disable download-feature with --no-default-features.", target)
+ )
+ };
+ debug_log!(
+ "raw target_dist: {:?}",
+ serde_json::to_string(target_dist).unwrap()
+ );
+ let archive = if target_dist.get("archive").is_some() {
+ // archive name
+ // static/dynamic located in 'is_dynamic' field
+ target_dist.get("archive").unwrap().as_str().unwrap()
+ } else if *is_dynamic {
+ // dynamic archive name
+ target_dist.get("dynamic").unwrap().as_str().unwrap()
+ } else {
+ // static archive name
+ target_dist.get("static").unwrap().as_str().unwrap()
+ };
+ let name = archive.replace(".tar.bz2", "");
+ let name = name.replace(".tar.gz", "");
+
+ let libs: Option> = target_dist["targets"][target].as_array().map(|libs| {
+ libs.iter()
+ .map(|lib| lib.as_str().unwrap().to_string())
+ .collect()
+ });
+
+ let url = self.url.replace("{archive}", archive);
+ let checksum = DIST_CHECKSUM.get(archive)?;
+
+ // modify is_dynamic
+ debug_log!("checking is_dynamic");
+ if let Some(target_dist) = target_dist.get("is_dynamic") {
+ *is_dynamic = target_dist.as_bool()?;
+ debug_log!("is_dynamic: {}", *is_dynamic);
+ }
+
+ let dist = Dist {
+ url,
+ name,
+ checksum: checksum.to_string(),
+ libs,
+ };
+ debug_log!("dist: {:?}", dist);
+ Some(dist)
+ }
+}
+
+#[allow(unused)]
+fn hex_str_to_bytes(c: impl AsRef<[u8]>) -> Vec {
+ fn nibble(c: u8) -> u8 {
+ match c {
+ b'A'..=b'F' => c - b'A' + 10,
+ b'a'..=b'f' => c - b'a' + 10,
+ b'0'..=b'9' => c - b'0',
+ _ => panic!(),
+ }
+ }
+
+ c.as_ref()
+ .chunks(2)
+ .map(|n| (nibble(n[0]) << 4) | nibble(n[1]))
+ .collect()
+}
+
+fn bytes_to_hex_str(bytes: Vec) -> String {
+ let mut s = String::with_capacity(bytes.len() * 2);
+ for byte in bytes {
+ s.push_str(&format!("{:02x}", byte));
+ }
+ s
+}
+
+pub fn sha256(buf: &[u8]) -> String {
+ let hash_bytes: Vec = ::digest(buf).to_vec();
+ bytes_to_hex_str(hash_bytes)
+}
+
+pub fn get_cache_dir() -> Option {
+ dirs::cache_dir().map(|p| p.join("sherpa-rs"))
+}
+
+#[allow(unused)]
+pub fn extract_tgz(buf: &[u8], output: &Path) {
+ let buf: std::io::BufReader<&[u8]> = std::io::BufReader::new(buf);
+ let tar = flate2::read::GzDecoder::new(buf);
+ let mut archive = tar::Archive::new(tar);
+ archive.unpack(output).expect("Failed to extract .tgz file");
+}
+
+pub fn extract_tbz(buf: &[u8], output: &Path) {
+ debug_log!("extracging tbz to {}", output.display());
+ let buf: std::io::BufReader<&[u8]> = std::io::BufReader::new(buf);
+ let tar = bzip2::read::BzDecoder::new(buf); // Use BzDecoder for .bz2
+ let mut archive = tar::Archive::new(tar);
+ archive.unpack(output).expect("Failed to extract .tbz file");
+}
+
+pub fn extract_lib_name>(path: P) -> String {
+ path.as_ref()
+ .file_name()
+ .and_then(|name| name.to_str())
+ .map(|name| {
+ name.strip_prefix("lib")
+ .unwrap_or(name)
+ .replace(".so", "")
+ .replace(".dylib", "")
+ .replace(".a", "")
+ })
+ .unwrap_or_else(|| "".to_string())
+}
diff --git a/sys/src/lib.rs b/crates/sherpa-rs-sys/src/lib.rs
similarity index 100%
rename from sys/src/lib.rs
rename to crates/sherpa-rs-sys/src/lib.rs
diff --git a/sys/wrapper.h b/crates/sherpa-rs-sys/wrapper.h
similarity index 100%
rename from sys/wrapper.h
rename to crates/sherpa-rs-sys/wrapper.h
diff --git a/crates/sherpa-rs/Cargo.toml b/crates/sherpa-rs/Cargo.toml
new file mode 100644
index 0000000..927dd40
--- /dev/null
+++ b/crates/sherpa-rs/Cargo.toml
@@ -0,0 +1,128 @@
+[package]
+name = "sherpa-rs"
+version = "0.6.6"
+edition = "2021"
+authors = ["thewh1teagle"]
+license = "MIT"
+repository = "https://github.com/thewh1teagle/sherpa-rs"
+description = "Rust bindings to https://github.com/k2-fsa/sherpa-onnx"
+readme = "../../README.md"
+keywords = [
+ "audio",
+ "embeddings",
+ "speech-recognition",
+ "sherpa",
+ "diarization",
+]
+
+[lib]
+crate-type = ["cdylib", "rlib"]
+
+[dependencies]
+eyre = "0.6.12"
+hound = { version = "3.5.1" }
+sherpa-rs-sys = { path = "../sherpa-rs-sys", version = "0.6.6", default-features = false }
+tracing = "0.1.40"
+
+[dev-dependencies]
+clap = { version = "4.5.8", features = ["derive"] }
+
+[features]
+default = ["download-binaries", "tts"]
+download-binaries = ["sherpa-rs-sys/download-binaries"]
+static = ["sherpa-rs-sys/static"]
+sys = []
+tts = ["sherpa-rs-sys/tts"]
+cuda = ["sherpa-rs-sys/cuda"]
+directml = ["sherpa-rs-sys/directml"]
+
+[[example]]
+name = "tts_kokoro"
+required-features = ["tts"]
+path = "../../examples/tts_kokoro.rs"
+
+[[example]]
+name = "tts_vits"
+required-features = ["tts"]
+path = "../../examples/tts_vits.rs"
+
+[[example]]
+name = "tts_matcha"
+required-features = ["tts"]
+path = "../../examples/tts_matcha.rs"
+
+[[example]]
+name = "audio_tag"
+path = "../../examples/audio_tag.rs"
+
+[[example]]
+name = "keyword_spot"
+path = "../../examples/keyword_spot.rs"
+
+[[example]]
+name = "punctuate"
+path = "../../examples/punctuate.rs"
+
+[[example]]
+name = "speaker_id"
+path = "../../examples/speaker_id.rs"
+
+[[example]]
+name = "vad"
+path = "../../examples/vad.rs"
+
+[[example]]
+name = "vad_whisper"
+path = "../../examples/vad_whisper.rs"
+
+[[example]]
+name = "zipformer"
+path = "../../examples/zipformer.rs"
+
+[[example]]
+name = "diarize"
+path = "../../examples/diarize.rs"
+
+[[example]]
+name = "language_id"
+path = "../../examples/language_id.rs"
+
+[[example]]
+name = "speaker_embedding"
+path = "../../examples/speaker_embedding.rs"
+
+[[example]]
+name = "vad_segment"
+path = "../../examples/vad_segment.rs"
+
+[[example]]
+name = "whisper"
+path = "../../examples/whisper.rs"
+
+[[example]]
+name = "moonshine"
+path = "../../examples/moonshine.rs"
+
+[[example]]
+name = "sense_voice"
+path = "../../examples/sense_voice.rs"
+
+[[example]]
+name = "paraformer"
+path = "../../examples/paraformer.rs"
+
+[[example]]
+name = "transducer"
+path = "../../examples/transducer.rs"
+
+[[example]]
+name = "transducer_vosk"
+path = "../../examples/transducer_vosk.rs"
+
+[[example]]
+name = "dolphin"
+path = "../../examples/dolphin.rs"
+
+[[example]]
+name = "parakeet"
+path = "../../examples/parakeet.rs"
\ No newline at end of file
diff --git a/src/add_punctuation.rs b/crates/sherpa-rs/src/add_punctuation.rs
similarity index 100%
rename from src/add_punctuation.rs
rename to crates/sherpa-rs/src/add_punctuation.rs
diff --git a/crates/sherpa-rs/src/audio_tag.rs b/crates/sherpa-rs/src/audio_tag.rs
new file mode 100644
index 0000000..aa32a3e
--- /dev/null
+++ b/crates/sherpa-rs/src/audio_tag.rs
@@ -0,0 +1,95 @@
+use eyre::{bail, Result};
+
+use crate::{
+ get_default_provider,
+ utils::{cstr_to_string, cstring_from_str},
+};
+
+#[derive(Debug, Default, Clone)]
+pub struct AudioTagConfig {
+ pub model: String,
+ pub labels: String,
+ pub top_k: i32,
+ pub ced: Option,
+ pub debug: bool,
+ pub num_threads: Option,
+ pub provider: Option,
+}
+
+pub struct AudioTag {
+ audio_tag: *const sherpa_rs_sys::SherpaOnnxAudioTagging,
+ config: AudioTagConfig,
+}
+
+impl AudioTag {
+ pub fn new(config: AudioTagConfig) -> Result {
+ let config_clone = config.clone();
+
+ let model = cstring_from_str(&config.model);
+ let ced = cstring_from_str(&config.ced.unwrap_or_default());
+ let labels = cstring_from_str(&config.labels);
+ let provider = cstring_from_str(&config.provider.unwrap_or(get_default_provider()));
+
+ let sherpa_config = sherpa_rs_sys::SherpaOnnxAudioTaggingConfig {
+ model: sherpa_rs_sys::SherpaOnnxAudioTaggingModelConfig {
+ zipformer: sherpa_rs_sys::SherpaOnnxOfflineZipformerAudioTaggingModelConfig {
+ model: model.as_ptr(),
+ },
+ ced: ced.as_ptr(),
+ num_threads: config.num_threads.unwrap_or(1),
+ debug: config.debug.into(),
+ provider: provider.as_ptr(),
+ },
+ labels: labels.as_ptr(),
+ top_k: config.top_k,
+ };
+ let audio_tag = unsafe { sherpa_rs_sys::SherpaOnnxCreateAudioTagging(&sherpa_config) };
+
+ if audio_tag.is_null() {
+ bail!("Failed to create audio tagging");
+ }
+ Ok(Self {
+ audio_tag,
+ config: config_clone,
+ })
+ }
+
+ pub fn compute(&mut self, samples: Vec, sample_rate: u32) -> Vec {
+ let mut events = Vec::new();
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxAudioTaggingCreateOfflineStream(self.audio_tag);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len() as i32,
+ );
+
+ let results = sherpa_rs_sys::SherpaOnnxAudioTaggingCompute(
+ self.audio_tag,
+ stream,
+ self.config.top_k,
+ );
+
+ for i in 0..self.config.top_k {
+ let event = *results.add(i.try_into().unwrap());
+ let event_name = cstr_to_string((*event).name as _);
+ events.push(event_name);
+ }
+
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+ }
+ events
+ }
+}
+
+unsafe impl Send for AudioTag {}
+unsafe impl Sync for AudioTag {}
+
+impl Drop for AudioTag {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyAudioTagging(self.audio_tag);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/diarize.rs b/crates/sherpa-rs/src/diarize.rs
new file mode 100644
index 0000000..74c30f1
--- /dev/null
+++ b/crates/sherpa-rs/src/diarize.rs
@@ -0,0 +1,169 @@
+use crate::{get_default_provider, utils::cstring_from_str};
+use eyre::{bail, Result};
+use std::{path::Path, ptr::null_mut};
+
+#[derive(Debug)]
+pub struct Diarize {
+ sd: *const sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarization,
+}
+
+#[derive(Debug, Clone)]
+pub struct Segment {
+ pub start: f32,
+ pub end: f32,
+ pub speaker: i32,
+}
+
+type ProgressCallback = Box i32) + Send + 'static>;
+
+#[derive(Debug, Clone)]
+pub struct DiarizeConfig {
+ pub num_clusters: Option,
+ pub threshold: Option,
+ pub min_duration_on: Option,
+ pub min_duration_off: Option,
+ pub provider: Option,
+ pub debug: bool,
+}
+
+impl Default for DiarizeConfig {
+ fn default() -> Self {
+ Self {
+ num_clusters: Some(4),
+ threshold: Some(0.5),
+ min_duration_on: Some(0.0),
+ min_duration_off: Some(0.0),
+ provider: None,
+ debug: false,
+ }
+ }
+}
+
+impl Diarize {
+ pub fn new>(
+ segmentation_model: P,
+ embedding_model: P,
+ config: DiarizeConfig,
+ ) -> Result {
+ let provider = config.provider.unwrap_or(get_default_provider());
+
+ let debug = config.debug;
+ let debug = if debug { 1 } else { 0 };
+
+ let embedding_model = embedding_model.as_ref().to_str().unwrap();
+ let segmentation_model = segmentation_model.as_ref().to_str().unwrap();
+
+ let clustering_config = sherpa_rs_sys::SherpaOnnxFastClusteringConfig {
+ num_clusters: config.num_clusters.unwrap_or(4),
+ threshold: config.threshold.unwrap_or(0.5),
+ };
+
+ let embedding_model = cstring_from_str(embedding_model);
+ let provider = cstring_from_str(&provider.clone());
+ let segmentation_model = cstring_from_str(segmentation_model);
+
+ let config = sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationConfig {
+ embedding: sherpa_rs_sys::SherpaOnnxSpeakerEmbeddingExtractorConfig {
+ model: embedding_model.as_ptr(),
+ num_threads: 1,
+ debug,
+ provider: provider.as_ptr(),
+ },
+ clustering: clustering_config,
+ min_duration_off: config.min_duration_off.unwrap_or(0.0),
+ min_duration_on: config.min_duration_on.unwrap_or(0.0),
+ segmentation: sherpa_rs_sys::SherpaOnnxOfflineSpeakerSegmentationModelConfig {
+ pyannote: sherpa_rs_sys::SherpaOnnxOfflineSpeakerSegmentationPyannoteModelConfig {
+ model: segmentation_model.as_ptr(),
+ },
+ num_threads: 1,
+ debug,
+ provider: provider.as_ptr(),
+ },
+ };
+
+ let sd = unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflineSpeakerDiarization(&config) };
+
+ if sd.is_null() {
+ bail!("Failed to initialize offline speaker diarization");
+ }
+ Ok(Self { sd })
+ }
+
+ pub fn compute(
+ &mut self,
+ mut samples: Vec,
+ progress_callback: Option,
+ ) -> Result> {
+ let samples_ptr = samples.as_mut_ptr();
+ let mut segments = Vec::new();
+ unsafe {
+ let mut callback_box =
+ progress_callback.map(|cb| Box::new(cb) as Box);
+ let callback_ptr = callback_box
+ .as_mut()
+ .map(|b| b.as_mut() as *mut ProgressCallback as *mut std::ffi::c_void)
+ .unwrap_or(null_mut());
+
+ let result = sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationProcessWithCallback(
+ self.sd,
+ samples_ptr,
+ samples.len() as i32,
+ if callback_box.is_some() {
+ Some(progress_callback_wrapper)
+ } else {
+ None
+ },
+ callback_ptr,
+ );
+
+ let num_segments =
+ sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationResultGetNumSegments(result);
+ let segments_ptr: *const sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationSegment =
+ sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationResultSortByStartTime(result);
+
+ if !segments_ptr.is_null() && num_segments > 0 {
+ let segments_result: &[
+ sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationSegment
+ ] = std::slice::from_raw_parts(segments_ptr, num_segments as usize);
+
+ for segment in segments_result {
+ // Use segment here
+
+ segments.push(Segment {
+ start: segment.start,
+ end: segment.end,
+ speaker: segment.speaker,
+ });
+ }
+ } else {
+ bail!("No segments found or invalid pointer.");
+ }
+
+ sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationDestroySegment(segments_ptr);
+ sherpa_rs_sys::SherpaOnnxOfflineSpeakerDiarizationDestroyResult(result);
+
+ Ok(segments)
+ }
+ }
+}
+
+unsafe extern "C" fn progress_callback_wrapper(
+ num_processed_chunk: i32,
+ num_total_chunks: i32,
+ arg: *mut std::ffi::c_void,
+) -> i32 {
+ let callback = &mut *(arg as *mut ProgressCallback);
+ callback(num_processed_chunk, num_total_chunks)
+}
+
+unsafe impl Send for Diarize {}
+unsafe impl Sync for Diarize {}
+
+impl Drop for Diarize {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineSpeakerDiarization(self.sd);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/dolphin.rs b/crates/sherpa-rs/src/dolphin.rs
new file mode 100644
index 0000000..985b7c8
--- /dev/null
+++ b/crates/sherpa-rs/src/dolphin.rs
@@ -0,0 +1,131 @@
+use crate::{get_default_provider, utils::cstring_from_str};
+use eyre::{bail, Result};
+use std::mem;
+
+#[derive(Debug)]
+pub struct DolphinRecognizer {
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOfflineRecognizer,
+}
+
+pub type DolphinRecognizerResult = super::OfflineRecognizerResult;
+
+#[derive(Debug, Clone)]
+pub struct DolphinConfig {
+ pub model: String,
+ pub tokens: String,
+ pub decoding_method: String,
+
+ pub provider: Option,
+ pub num_threads: Option,
+ pub debug: bool,
+}
+
+impl Default for DolphinConfig {
+ fn default() -> Self {
+ Self {
+ model: String::new(),
+ tokens: String::new(),
+ decoding_method: String::from("greedy_search"),
+ debug: false,
+ provider: None,
+ num_threads: Some(1),
+ }
+ }
+}
+
+impl DolphinRecognizer {
+ pub fn new(config: DolphinConfig) -> Result {
+ let debug = config.debug.into();
+ let provider = config.provider.unwrap_or(get_default_provider());
+
+ let provider_ptr = cstring_from_str(&provider);
+ let num_threads = config.num_threads.unwrap_or(2);
+ let model_ptr = cstring_from_str(&config.model);
+ let tokens_ptr = cstring_from_str(&config.tokens);
+ let decoding_method_ptr = cstring_from_str(&config.decoding_method);
+
+ let model_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineModelConfig {
+ debug,
+ num_threads,
+ provider: provider_ptr.as_ptr(),
+ dolphin: sherpa_rs_sys::SherpaOnnxOfflineDolphinModelConfig {
+ model: model_ptr.as_ptr(),
+ },
+ tokens: tokens_ptr.as_ptr(),
+
+ // Zeros
+ nemo_ctc: mem::zeroed::<_>(),
+ paraformer: mem::zeroed::<_>(),
+ tdnn: mem::zeroed::<_>(),
+ telespeech_ctc: mem::zeroed::<_>(),
+ fire_red_asr: mem::zeroed::<_>(),
+ transducer: mem::zeroed::<_>(),
+ whisper: mem::zeroed::<_>(),
+ sense_voice: mem::zeroed::<_>(),
+ moonshine: mem::zeroed::<_>(),
+ bpe_vocab: mem::zeroed::<_>(),
+ model_type: mem::zeroed::<_>(),
+ modeling_unit: mem::zeroed::<_>(),
+ }
+ };
+
+ let config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineRecognizerConfig {
+ decoding_method: decoding_method_ptr.as_ptr(),
+ model_config,
+ feat_config: sherpa_rs_sys::SherpaOnnxFeatureConfig {
+ sample_rate: 16000,
+ feature_dim: 80,
+ },
+ hotwords_file: mem::zeroed::<_>(),
+ hotwords_score: mem::zeroed::<_>(),
+ lm_config: mem::zeroed::<_>(),
+ max_active_paths: mem::zeroed::<_>(),
+ rule_fars: mem::zeroed::<_>(),
+ rule_fsts: mem::zeroed::<_>(),
+ blank_penalty: mem::zeroed::<_>(),
+ hr: mem::zeroed::<_>(),
+ }
+ };
+
+ let recognizer = unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflineRecognizer(&config) };
+
+ if recognizer.is_null() {
+ bail!("Failed to create recognizer");
+ }
+
+ Ok(Self { recognizer })
+ }
+
+ pub fn transcribe(&mut self, sample_rate: u32, samples: &[f32]) -> DolphinRecognizerResult {
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxCreateOfflineStream(self.recognizer);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len().try_into().unwrap(),
+ );
+ sherpa_rs_sys::SherpaOnnxDecodeOfflineStream(self.recognizer, stream);
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetOfflineStreamResult(stream);
+ let raw_result = result_ptr.read();
+ let result = DolphinRecognizerResult::new(&raw_result);
+ // Free
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizerResult(result_ptr);
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+ result
+ }
+ }
+}
+
+unsafe impl Send for DolphinRecognizer {}
+unsafe impl Sync for DolphinRecognizer {}
+
+impl Drop for DolphinRecognizer {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizer(self.recognizer);
+ }
+ }
+}
diff --git a/src/embedding_manager.rs b/crates/sherpa-rs/src/embedding_manager.rs
similarity index 86%
rename from src/embedding_manager.rs
rename to crates/sherpa-rs/src/embedding_manager.rs
index 345ab93..f4f67fb 100644
--- a/src/embedding_manager.rs
+++ b/crates/sherpa-rs/src/embedding_manager.rs
@@ -1,7 +1,5 @@
+use crate::utils::{cstr_to_string, cstring_from_str};
use eyre::{bail, Result};
-use std::ffi::{CStr, CString};
-
-use crate::cstr_to_string;
#[derive(Debug, Clone)]
pub struct EmbeddingManager {
@@ -32,8 +30,8 @@ impl EmbeddingManager {
if name.is_null() {
return None;
}
- let cstr = CStr::from_ptr(name);
- Some(cstr.to_str().unwrap_or_default().to_string())
+ let name = cstr_to_string(name as _);
+ Some(name)
}
}
@@ -59,7 +57,7 @@ impl EmbeddingManager {
let mut matches: Vec = Vec::new();
for i in 0..result.count {
let match_c = matches_c[i as usize];
- let name = cstr_to_string!(match_c.name);
+ let name = cstr_to_string(match_c.name as _);
let score = match_c.score;
matches.push(SpeakerMatch { name, score });
}
@@ -69,16 +67,16 @@ impl EmbeddingManager {
}
pub fn add(&mut self, name: String, embedding: &mut [f32]) -> Result<()> {
- let name_cstr = CString::new(name.clone())?;
-
+ let name_c = cstring_from_str(&name.clone());
unsafe {
let status = sherpa_rs_sys::SherpaOnnxSpeakerEmbeddingManagerAdd(
self.manager,
- name_cstr.into_raw(),
+ name_c.as_ptr(),
embedding.as_mut_ptr(),
);
+
if status.is_negative() {
- bail!("Failed to register {}", name)
+ bail!("Failed to register {}", name);
}
Ok(())
}
@@ -92,6 +90,6 @@ impl Drop for EmbeddingManager {
fn drop(&mut self) {
unsafe {
sherpa_rs_sys::SherpaOnnxDestroySpeakerEmbeddingManager(self.manager);
- };
+ }
}
}
diff --git a/crates/sherpa-rs/src/keyword_spot.rs b/crates/sherpa-rs/src/keyword_spot.rs
new file mode 100644
index 0000000..941838d
--- /dev/null
+++ b/crates/sherpa-rs/src/keyword_spot.rs
@@ -0,0 +1,161 @@
+use std::mem;
+
+use crate::{
+ get_default_provider,
+ utils::{cstr_to_string, cstring_from_str},
+};
+use eyre::{bail, Result};
+
+#[derive(Debug, Clone)]
+pub struct KeywordSpotConfig {
+ pub zipformer_encoder: String,
+ pub zipformer_decoder: String,
+ pub zipformer_joiner: String,
+
+ pub tokens: String,
+ pub keywords: String,
+ pub max_active_path: i32,
+ pub keywords_threshold: f32,
+ pub keywords_score: f32,
+
+ pub num_trailing_blanks: i32,
+
+ pub sample_rate: i32,
+ pub feature_dim: i32,
+
+ pub debug: bool,
+ pub num_threads: Option,
+ pub provider: Option,
+}
+
+impl Default for KeywordSpotConfig {
+ fn default() -> Self {
+ Self {
+ keywords_threshold: 0.1,
+ max_active_path: 4,
+ keywords_score: 3.0,
+ keywords: String::new(),
+ tokens: String::new(),
+
+ sample_rate: 16000,
+ feature_dim: 80,
+ num_trailing_blanks: 1,
+
+ zipformer_decoder: String::new(),
+ zipformer_encoder: String::new(),
+ zipformer_joiner: String::new(),
+
+ debug: false,
+ num_threads: None,
+ provider: Some("cpu".into()),
+ }
+ }
+}
+
+pub struct KeywordSpot {
+ spotter: *const sherpa_rs_sys::SherpaOnnxKeywordSpotter,
+ stream: *const sherpa_rs_sys::SherpaOnnxOnlineStream,
+}
+
+impl KeywordSpot {
+ // Create new keyboard spotter along with stream
+ // Ready for streaming or regular use
+ pub fn new(config: KeywordSpotConfig) -> Result {
+ let provider = cstring_from_str(&config.provider.unwrap_or(get_default_provider()));
+
+ let zipformer_encoder = cstring_from_str(&config.zipformer_encoder);
+ let zipformer_decoder = cstring_from_str(&config.zipformer_decoder);
+ let zipformer_joiner = cstring_from_str(&config.zipformer_joiner);
+
+ let tokens = cstring_from_str(&config.tokens);
+ let keywords = cstring_from_str(&config.keywords);
+
+ let sherpa_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxKeywordSpotterConfig {
+ feat_config: sherpa_rs_sys::SherpaOnnxFeatureConfig {
+ sample_rate: config.sample_rate,
+ feature_dim: config.feature_dim,
+ },
+ keywords_buf: mem::zeroed::<_>(),
+ keywords_buf_size: 0,
+ keywords_file: keywords.as_ptr(),
+ max_active_paths: config.max_active_path,
+ keywords_score: config.keywords_score,
+ keywords_threshold: config.keywords_threshold,
+ num_trailing_blanks: config.num_trailing_blanks,
+ model_config: sherpa_rs_sys::SherpaOnnxOnlineModelConfig {
+ transducer: sherpa_rs_sys::SherpaOnnxOnlineTransducerModelConfig {
+ encoder: zipformer_encoder.as_ptr(),
+ decoder: zipformer_decoder.as_ptr(),
+ joiner: zipformer_joiner.as_ptr(),
+ },
+ num_threads: config.num_threads.unwrap_or(1),
+ provider: provider.as_ptr(),
+ debug: config.debug.into(),
+ tokens: tokens.as_ptr(),
+
+ paraformer: mem::zeroed::<_>(),
+ zipformer2_ctc: mem::zeroed::<_>(),
+ model_type: mem::zeroed::<_>(),
+ modeling_unit: mem::zeroed::<_>(),
+ bpe_vocab: mem::zeroed::<_>(),
+ tokens_buf: mem::zeroed::<_>(),
+ tokens_buf_size: mem::zeroed::<_>(),
+ },
+ }
+ };
+ let spotter = unsafe { sherpa_rs_sys::SherpaOnnxCreateKeywordSpotter(&sherpa_config) };
+
+ if spotter.is_null() {
+ bail!("Failed to create keyword spotter");
+ }
+ let stream = unsafe { sherpa_rs_sys::SherpaOnnxCreateKeywordStream(spotter) };
+ if stream.is_null() {
+ bail!("Failed to create SherpaOnnx keyword stream");
+ }
+
+ Ok(Self { spotter, stream })
+ }
+
+ pub fn extract_keyword(
+ &mut self,
+ samples: Vec,
+ sample_rate: u32,
+ ) -> Result> {
+ // Create keyword spotting stream
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxOnlineStreamAcceptWaveform(
+ self.stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len() as i32,
+ );
+ sherpa_rs_sys::SherpaOnnxOnlineStreamInputFinished(self.stream);
+ while sherpa_rs_sys::SherpaOnnxIsKeywordStreamReady(self.spotter, self.stream) == 1 {
+ sherpa_rs_sys::SherpaOnnxDecodeKeywordStream(self.spotter, self.stream);
+ }
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetKeywordResult(self.spotter, self.stream);
+ let mut keyword = None;
+ if !result_ptr.is_null() {
+ let decoded_keyword = cstr_to_string((*result_ptr).keyword as _);
+ if !decoded_keyword.is_empty() {
+ keyword = Some(decoded_keyword);
+ }
+ sherpa_rs_sys::SherpaOnnxDestroyKeywordResult(result_ptr);
+ }
+ Ok(keyword)
+ }
+ }
+}
+
+unsafe impl Send for KeywordSpot {}
+unsafe impl Sync for KeywordSpot {}
+
+impl Drop for KeywordSpot {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOnlineStream(self.stream);
+ sherpa_rs_sys::SherpaOnnxDestroyKeywordSpotter(self.spotter);
+ }
+ }
+}
diff --git a/src/language_id.rs b/crates/sherpa-rs/src/language_id.rs
similarity index 55%
rename from src/language_id.rs
rename to crates/sherpa-rs/src/language_id.rs
index 8d20e4a..0c7cd12 100644
--- a/src/language_id.rs
+++ b/crates/sherpa-rs/src/language_id.rs
@@ -1,60 +1,65 @@
-use crate::get_default_provider;
+use crate::{
+ get_default_provider,
+ utils::{cstr_to_string, cstring_from_str},
+};
use eyre::{bail, Result};
-use std::ffi::{CStr, CString};
#[derive(Debug)]
pub struct SpokenLanguageId {
slid: *const sherpa_rs_sys::SherpaOnnxSpokenLanguageIdentification,
}
+#[derive(Debug, Default)]
+pub struct SpokenLanguageIdConfig {
+ pub encoder: String,
+ pub decoder: String,
+ pub debug: bool,
+ pub provider: Option,
+ pub num_threads: Option,
+}
+
impl SpokenLanguageId {
- pub fn new(
- encoder: String,
- decoder: String,
- debug: Option,
- provider: Option<&str>,
- num_threads: Option,
- ) -> Self {
- let provider = provider.unwrap_or(get_default_provider());
- let provider_c = CString::new(provider).unwrap();
- let debug = debug.unwrap_or_default();
- let debug = if debug { 0 } else { 1 };
+ pub fn new(config: SpokenLanguageIdConfig) -> Self {
+ let debug = config.debug.into();
+
+ let decoder = cstring_from_str(&config.decoder);
+ let encoder = cstring_from_str(&config.encoder);
+ let provider = cstring_from_str(&config.provider.unwrap_or(get_default_provider()));
- let encoder_c = CString::new(encoder).unwrap();
- let decoder_c = CString::new(decoder).unwrap();
let whisper = sherpa_rs_sys::SherpaOnnxSpokenLanguageIdentificationWhisperConfig {
- decoder: decoder_c.into_raw(),
- encoder: encoder_c.into_raw(),
+ decoder: decoder.as_ptr(),
+ encoder: encoder.as_ptr(),
tail_paddings: 0,
};
- let config = sherpa_rs_sys::SherpaOnnxSpokenLanguageIdentificationConfig {
+ let sherpa_config = sherpa_rs_sys::SherpaOnnxSpokenLanguageIdentificationConfig {
debug,
- num_threads: num_threads.unwrap_or(2),
- provider: provider_c.into_raw(),
+ num_threads: config.num_threads.unwrap_or(1),
+ provider: provider.as_ptr(),
whisper,
};
- let slid = unsafe { sherpa_rs_sys::SherpaOnnxCreateSpokenLanguageIdentification(&config) };
+ let slid =
+ unsafe { sherpa_rs_sys::SherpaOnnxCreateSpokenLanguageIdentification(&sherpa_config) };
+
Self { slid }
}
- pub fn compute(&mut self, samples: Vec, sample_rate: i32) -> Result {
+ pub fn compute(&mut self, samples: Vec, sample_rate: u32) -> Result {
unsafe {
let stream =
sherpa_rs_sys::SherpaOnnxSpokenLanguageIdentificationCreateOfflineStream(self.slid);
sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
stream,
- sample_rate,
+ sample_rate as i32,
samples.as_ptr(),
samples.len().try_into().unwrap(),
);
let language_result_ptr =
sherpa_rs_sys::SherpaOnnxSpokenLanguageIdentificationCompute(self.slid, stream);
if language_result_ptr.is_null() || (*language_result_ptr).lang.is_null() {
- bail!("language ptr is null")
+ bail!("language ptr is null");
}
let language_ptr = (*language_result_ptr).lang;
- let c_language = CStr::from_ptr(language_ptr);
- let language = c_language.to_str().unwrap().to_string();
+ let language = cstr_to_string(language_ptr as _);
// Free
sherpa_rs_sys::SherpaOnnxDestroySpokenLanguageIdentificationResult(language_result_ptr);
sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
diff --git a/crates/sherpa-rs/src/lib.rs b/crates/sherpa-rs/src/lib.rs
new file mode 100644
index 0000000..3e7af39
--- /dev/null
+++ b/crates/sherpa-rs/src/lib.rs
@@ -0,0 +1,137 @@
+pub mod audio_tag;
+pub mod diarize;
+pub mod dolphin;
+pub mod embedding_manager;
+pub mod keyword_spot;
+pub mod language_id;
+pub mod moonshine;
+pub mod online;
+pub mod paraformer;
+pub mod punctuate;
+pub mod sense_voice;
+pub mod speaker_id;
+pub mod transducer;
+pub mod vad;
+pub mod whisper;
+pub mod zipformer;
+
+mod utils;
+
+#[cfg(feature = "tts")]
+pub mod tts;
+
+use std::ffi::CStr;
+
+#[cfg(feature = "sys")]
+pub use sherpa_rs_sys;
+
+use eyre::{bail, Result};
+use utils::cstr_to_string;
+
+pub fn get_default_provider() -> String {
+ "cpu".into()
+ // Other providers has many issues with different models!!
+ // if cfg!(feature = "cuda") {
+ // "cuda"
+ // } else if cfg!(target_os = "macos") {
+ // "coreml"
+ // } else if cfg!(feature = "directml") {
+ // "directml"
+ // } else {
+ // "cpu"
+ // }
+ // .into()
+}
+
+pub fn read_audio_file(path: &str) -> Result<(Vec, u32)> {
+ let mut reader = hound::WavReader::open(path)?;
+ let sample_rate = reader.spec().sample_rate;
+
+ // Check if the sample rate is 16000
+ if sample_rate != 16000 {
+ bail!("The sample rate must be 16000.");
+ }
+
+ // Collect samples into a Vec
+ let samples: Vec = reader
+ .samples::()
+ .map(|s| (s.unwrap() as f32) / (i16::MAX as f32))
+ .collect();
+
+ Ok((samples, sample_rate))
+}
+
+pub fn write_audio_file(path: &str, samples: &[f32], sample_rate: u32) -> Result<()> {
+ // Create a WAV file writer
+ let spec = hound::WavSpec {
+ channels: 1,
+ sample_rate,
+ bits_per_sample: 16,
+ sample_format: hound::SampleFormat::Int,
+ };
+
+ let mut writer = hound::WavWriter::create(path, spec)?;
+
+ // Convert samples from f32 to i16 and write them to the WAV file
+ for &sample in samples {
+ let scaled_sample =
+ (sample * (i16::MAX as f32)).clamp(i16::MIN as f32, i16::MAX as f32) as i16;
+ writer.write_sample(scaled_sample)?;
+ }
+
+ writer.finalize()?;
+ Ok(())
+}
+
+pub struct OnnxConfig {
+ pub provider: String,
+ pub debug: bool,
+ pub num_threads: i32,
+}
+
+#[derive(Debug, Clone)]
+pub struct OfflineRecognizerResult {
+ pub lang: String,
+ pub text: String,
+ pub timestamps: Vec,
+ pub tokens: Vec,
+}
+
+impl OfflineRecognizerResult {
+ fn new(result: &sherpa_rs_sys::SherpaOnnxOfflineRecognizerResult) -> Self {
+ let lang = unsafe { cstr_to_string(result.lang) };
+ let text = unsafe { cstr_to_string(result.text) };
+ let count = result.count.try_into().unwrap();
+ let timestamps = if result.timestamps.is_null() {
+ Vec::new()
+ } else {
+ unsafe { std::slice::from_raw_parts(result.timestamps, count).to_vec() }
+ };
+ let mut tokens = Vec::with_capacity(count);
+ let mut next_token = result.tokens;
+
+ for _ in 0..count {
+ let token = unsafe { CStr::from_ptr(next_token) };
+ tokens.push(token.to_string_lossy().into_owned());
+ next_token = next_token
+ .wrapping_byte_offset(token.to_bytes_with_nul().len().try_into().unwrap());
+ }
+
+ Self {
+ lang,
+ text,
+ timestamps,
+ tokens,
+ }
+ }
+}
+
+impl Default for OnnxConfig {
+ fn default() -> Self {
+ Self {
+ provider: get_default_provider(),
+ debug: false,
+ num_threads: 1,
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/moonshine.rs b/crates/sherpa-rs/src/moonshine.rs
new file mode 100644
index 0000000..cc5c57e
--- /dev/null
+++ b/crates/sherpa-rs/src/moonshine.rs
@@ -0,0 +1,148 @@
+use crate::{get_default_provider, utils::cstring_from_str};
+use eyre::{bail, Result};
+use std::{mem, ptr::null};
+
+#[derive(Debug)]
+pub struct MoonshineRecognizer {
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOfflineRecognizer,
+}
+
+pub type MoonshineRecognizerResult = super::OfflineRecognizerResult;
+
+#[derive(Debug, Clone)]
+pub struct MoonshineConfig {
+ pub preprocessor: String,
+
+ pub encoder: String,
+ pub uncached_decoder: String,
+ pub cached_decoder: String,
+
+ pub tokens: String,
+
+ pub provider: Option,
+ pub num_threads: Option,
+ pub debug: bool,
+}
+
+impl Default for MoonshineConfig {
+ fn default() -> Self {
+ Self {
+ preprocessor: String::new(),
+ encoder: String::new(),
+ cached_decoder: String::new(),
+ uncached_decoder: String::new(),
+ tokens: String::new(),
+
+ debug: false,
+ provider: None,
+ num_threads: Some(1),
+ }
+ }
+}
+
+impl MoonshineRecognizer {
+ pub fn new(config: MoonshineConfig) -> Result {
+ let debug = config.debug.into();
+ let provider = config.provider.unwrap_or(get_default_provider());
+
+ // Onnx
+ let provider_ptr = cstring_from_str(&provider);
+ let num_threads = config.num_threads.unwrap_or(2);
+
+ // Moonshine
+ let preprocessor_ptr = cstring_from_str(&config.preprocessor);
+ let encoder_ptr = cstring_from_str(&config.encoder);
+ let cached_decoder_ptr = cstring_from_str(&config.cached_decoder);
+ let uncached_decoder_ptr = cstring_from_str(&config.uncached_decoder);
+ let tokens_ptr = cstring_from_str(&config.tokens);
+
+ let model_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineModelConfig {
+ debug,
+ num_threads,
+ moonshine: sherpa_rs_sys::SherpaOnnxOfflineMoonshineModelConfig {
+ preprocessor: preprocessor_ptr.as_ptr(),
+ encoder: encoder_ptr.as_ptr(),
+ uncached_decoder: uncached_decoder_ptr.as_ptr(),
+ cached_decoder: cached_decoder_ptr.as_ptr(),
+ },
+ tokens: tokens_ptr.as_ptr(),
+ provider: provider_ptr.as_ptr(),
+
+ model_type: mem::zeroed::<_>(),
+ modeling_unit: mem::zeroed::<_>(),
+ dolphin: mem::zeroed::<_>(),
+ bpe_vocab: mem::zeroed::<_>(),
+ nemo_ctc: mem::zeroed::<_>(),
+ paraformer: mem::zeroed::<_>(),
+ tdnn: mem::zeroed::<_>(),
+ telespeech_ctc: mem::zeroed::<_>(),
+ fire_red_asr: mem::zeroed::<_>(),
+ transducer: mem::zeroed::<_>(),
+ whisper: mem::zeroed::<_>(),
+ sense_voice: mem::zeroed::<_>(),
+ }
+ };
+
+ let config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineRecognizerConfig {
+ decoding_method: null(),
+ feat_config: sherpa_rs_sys::SherpaOnnxFeatureConfig {
+ sample_rate: 16000,
+ feature_dim: 512,
+ },
+ hotwords_file: null(),
+ hotwords_score: 0.0,
+ lm_config: sherpa_rs_sys::SherpaOnnxOfflineLMConfig {
+ model: null(),
+ scale: 0.0,
+ },
+ max_active_paths: 0,
+ model_config,
+ rule_fars: null(),
+ rule_fsts: null(),
+ blank_penalty: 0.0,
+ hr: mem::zeroed::<_>(),
+ }
+ };
+
+ let recognizer = unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflineRecognizer(&config) };
+
+ if recognizer.is_null() {
+ bail!("Failed to create recognizer");
+ }
+
+ Ok(Self { recognizer })
+ }
+
+ pub fn transcribe(&mut self, sample_rate: u32, samples: &[f32]) -> MoonshineRecognizerResult {
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxCreateOfflineStream(self.recognizer);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len().try_into().unwrap(),
+ );
+ sherpa_rs_sys::SherpaOnnxDecodeOfflineStream(self.recognizer, stream);
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetOfflineStreamResult(stream);
+ let raw_result = result_ptr.read();
+ let result = MoonshineRecognizerResult::new(&raw_result);
+ // Free
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizerResult(result_ptr);
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+ result
+ }
+ }
+}
+
+unsafe impl Send for MoonshineRecognizer {}
+unsafe impl Sync for MoonshineRecognizer {}
+
+impl Drop for MoonshineRecognizer {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizer(self.recognizer);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/online/keyword_spotter.rs b/crates/sherpa-rs/src/online/keyword_spotter.rs
new file mode 100644
index 0000000..58f98ff
--- /dev/null
+++ b/crates/sherpa-rs/src/online/keyword_spotter.rs
@@ -0,0 +1,160 @@
+use std::{
+ ffi::{CStr, CString},
+ path::Path,
+ sync::Arc,
+};
+
+use eyre::Result;
+use sherpa_rs_sys::{
+ SherpaOnnxFeatureConfig, SherpaOnnxKeywordSpotterConfig, SherpaOnnxOnlineModelConfig,
+};
+
+use crate::{online::transducer::Transducer, OnnxConfig};
+
+use super::Stream;
+
+pub struct KeywordSpotter {
+ spotter: *const sherpa_rs_sys::SherpaOnnxKeywordSpotter,
+}
+
+impl KeywordSpotter {
+ pub fn from_transducer(
+ transducer: Transducer,
+ tokens: &Path,
+ keyword_file: &Path,
+
+ onnx_config: OnnxConfig,
+ ) -> Result> {
+ let tokens_c = CString::new(tokens.to_str().unwrap_or(&tokens.to_string_lossy())).unwrap();
+ let provider_c = CString::new(onnx_config.provider).unwrap();
+ let model_type_c = transducer.model_type();
+ let modeling_unit_c = CString::new("cjkchar").unwrap();
+ let files_c = CString::new(
+ keyword_file
+ .to_str()
+ .unwrap_or(&keyword_file.to_string_lossy()),
+ )
+ .unwrap();
+
+ let mut model_config = unsafe { std::mem::zeroed::() };
+ model_config.transducer = transducer.as_config();
+ model_config.tokens = tokens_c.as_ptr();
+ model_config.num_threads = onnx_config.num_threads;
+ model_config.provider = provider_c.as_ptr();
+ model_config.debug = onnx_config.debug as i32;
+ model_config.modeling_unit = modeling_unit_c.as_ptr();
+ model_config.model_type = model_type_c.as_ptr();
+
+ let mut config = unsafe { std::mem::zeroed::() };
+ config.feat_config = SherpaOnnxFeatureConfig {
+ sample_rate: 16000,
+ feature_dim: 80,
+ };
+ config.model_config = model_config;
+ config.num_trailing_blanks = 1;
+ config.keywords_score = 1.0;
+ config.keywords_threshold = 0.25;
+ config.keywords_file = files_c.as_ptr();
+ let spotter = unsafe { sherpa_rs_sys::SherpaOnnxCreateKeywordSpotter(&config) };
+ if spotter.is_null() {
+ eyre::bail!("Failed to create keyword spotter");
+ }
+
+ Ok(Arc::new(Self { spotter }))
+ }
+
+ pub fn create_stream(
+ self: &Arc,
+ keywords: Option<&str>,
+ ) -> Result {
+ KeywordSpottingStream::new(self.clone(), keywords)
+ }
+}
+
+unsafe impl Send for KeywordSpotter {}
+unsafe impl Sync for KeywordSpotter {}
+
+impl Drop for KeywordSpotter {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyKeywordSpotter(self.spotter);
+ }
+ }
+}
+
+pub struct KeywordSpottingStream {
+ spotter: Arc,
+ stream: *const sherpa_rs_sys::SherpaOnnxOnlineStream,
+}
+
+impl KeywordSpottingStream {
+ pub fn new(spotter: Arc, keywords: Option<&str>) -> Result {
+ let stream = if let Some(keywords) = keywords {
+ let keywords = CString::new(keywords).unwrap();
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxCreateKeywordStreamWithKeywords(
+ spotter.spotter,
+ keywords.as_ptr(),
+ )
+ }
+ } else {
+ unsafe { sherpa_rs_sys::SherpaOnnxCreateKeywordStream(spotter.spotter) }
+ };
+
+ if stream.is_null() {
+ eyre::bail!("Failed to create SherpaOnnxOnlineStream");
+ }
+ Ok(Self { spotter, stream })
+ }
+}
+
+impl Drop for KeywordSpottingStream {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOnlineStream(self.stream);
+ }
+ }
+}
+
+impl Stream for KeywordSpottingStream {
+ fn accept_waveform(&mut self, sample_rate: i32, samples: impl AsRef<[f32]>) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxOnlineStreamAcceptWaveform(
+ self.stream,
+ sample_rate,
+ samples.as_ref().as_ptr(),
+ samples.as_ref().len() as i32,
+ );
+ }
+ }
+
+ fn decode_stream(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDecodeKeywordStream(self.spotter.spotter, self.stream);
+ }
+ }
+
+ fn is_ready(&mut self) -> bool {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxIsKeywordStreamReady(self.spotter.spotter, self.stream) == 1
+ }
+ }
+
+ fn get_result(&mut self) -> String {
+ unsafe {
+ let raw_result =
+ sherpa_rs_sys::SherpaOnnxGetKeywordResult(self.spotter.spotter, self.stream);
+ let result = raw_result.read();
+ let keyword = CStr::from_ptr(result.keyword).to_string_lossy().to_string();
+
+ sherpa_rs_sys::SherpaOnnxDestroyKeywordResult(raw_result);
+ keyword
+ }
+ }
+
+ fn reset(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxResetKeywordStream(self.spotter.spotter, self.stream);
+ }
+ }
+}
diff --git a/src/online/stream/mod.rs b/crates/sherpa-rs/src/online/mod.rs
similarity index 57%
rename from src/online/stream/mod.rs
rename to crates/sherpa-rs/src/online/mod.rs
index 72a44d9..f74b97e 100644
--- a/src/online/stream/mod.rs
+++ b/crates/sherpa-rs/src/online/mod.rs
@@ -1,8 +1,11 @@
pub mod keyword_spotter;
+pub mod paraformer;
pub mod recognizer;
+pub mod transducer;
+pub mod zipformer2_ctc;
-pub trait OnlineStream {
- fn accept_waveform(&mut self, sample_rate: i32, samples: Vec);
+pub trait Stream {
+ fn accept_waveform(&mut self, sample_rate: i32, samples: impl AsRef<[f32]>);
fn decode_stream(&mut self);
fn get_result(&mut self) -> String;
fn is_ready(&mut self) -> bool;
@@ -11,6 +14,5 @@ pub trait OnlineStream {
fn is_endpoint(&mut self) -> bool {
true
}
- /// better only use for recognizer
- fn reset(&mut self) {}
+ fn reset(&mut self);
}
diff --git a/src/online/paraformer.rs b/crates/sherpa-rs/src/online/paraformer.rs
similarity index 100%
rename from src/online/paraformer.rs
rename to crates/sherpa-rs/src/online/paraformer.rs
diff --git a/src/online/stream/recognizer.rs b/crates/sherpa-rs/src/online/recognizer.rs
similarity index 56%
rename from src/online/stream/recognizer.rs
rename to crates/sherpa-rs/src/online/recognizer.rs
index 3c2a62c..5166f2f 100644
--- a/src/online/stream/recognizer.rs
+++ b/crates/sherpa-rs/src/online/recognizer.rs
@@ -3,6 +3,7 @@ use std::{
path::Path,
};
+use eyre::Result;
use sherpa_rs_sys::{
SherpaOnnxCreateOnlineRecognizer, SherpaOnnxCreateOnlineStream, SherpaOnnxFeatureConfig,
SherpaOnnxOnlineCtcFstDecoderConfig, SherpaOnnxOnlineModelConfig,
@@ -11,11 +12,11 @@ use sherpa_rs_sys::{
};
use crate::{
- get_default_provider,
online::{paraformer::Paraformer, transducer::Transducer, zipformer2_ctc::Zipformer2Ctc},
+ OnnxConfig,
};
-use super::OnlineStream;
+use super::Stream;
use std::sync::Arc;
@@ -26,7 +27,7 @@ pub enum Search {
}
impl Search {
- fn into_raw(self) -> CString {
+ fn to_cstring(&self) -> CString {
match self {
Self::Greedy => CString::new("greedy_search").unwrap(),
Self::Beam => CString::new("modified_beam_search").unwrap(),
@@ -36,34 +37,33 @@ impl Search {
#[derive(Debug)]
pub struct Recognizer {
- recognizer: *mut sherpa_rs_sys::SherpaOnnxOnlineRecognizer,
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOnlineRecognizer,
}
-unsafe impl Send for Recognizer {}
-unsafe impl Sync for Recognizer {}
-
impl Recognizer {
pub fn from_transducer(
transducer: Transducer,
- provider: Option<&str>,
tokens: &Path,
search: Search,
- debug: bool,
- num_threads: Option,
+ onnx_config: OnnxConfig,
hotwords: Option<&Path>,
hotwords_score: Option,
- ) -> Arc {
+ ) -> Result> {
let tokens_c = CString::new(tokens.to_str().unwrap()).unwrap();
- let provider_c = CString::new(provider.unwrap_or(get_default_provider())).unwrap();
+ let provider_c = CString::new(onnx_config.provider).unwrap();
+ let decoding_method = search.to_cstring();
+ let modeling_unit_c = CString::new("cjkchar").unwrap();
+ let hotwords_c =
+ hotwords.map(|p| CString::new(p.to_str().unwrap_or(&p.to_string_lossy())).unwrap());
let mut model_config = unsafe { std::mem::zeroed::() };
model_config.transducer = transducer.as_config();
- model_config.tokens = tokens_c.into_raw();
- model_config.num_threads = num_threads.unwrap_or(1);
- model_config.provider = provider_c.into_raw();
- model_config.debug = debug as i32;
- model_config.modeling_unit = CString::new("cjkchar").unwrap().into_raw();
+ model_config.tokens = tokens_c.as_ptr();
+ model_config.num_threads = onnx_config.num_threads;
+ model_config.provider = provider_c.as_ptr();
+ model_config.debug = onnx_config.debug as i32;
+ model_config.modeling_unit = modeling_unit_c.as_ptr();
let mut rec_config = unsafe { std::mem::zeroed::() };
rec_config.feat_config = SherpaOnnxFeatureConfig {
@@ -71,46 +71,50 @@ impl Recognizer {
feature_dim: 80,
};
rec_config.model_config = model_config;
- rec_config.decoding_method = search.into_raw().into_raw();
+ rec_config.decoding_method = decoding_method.as_ptr();
rec_config.max_active_paths = 4;
rec_config.enable_endpoint = 1;
rec_config.rule1_min_trailing_silence = 2.4;
rec_config.rule2_min_trailing_silence = 1.2;
rec_config.rule3_min_utterance_length = 300.0;
- if hotwords.is_some() {
- let hotwords_c =
- hotwords.map(|p| CString::new(p.to_str().unwrap()).unwrap().into_raw());
- rec_config.hotwords_file = hotwords_c.unwrap_or(std::ptr::null_mut());
+ if let Some(ref hw) = hotwords_c {
+ rec_config.hotwords_file = hw.as_ptr();
rec_config.hotwords_score = hotwords_score.unwrap_or(1.5);
}
let recognizer = unsafe { SherpaOnnxCreateOnlineRecognizer(&rec_config) };
- Arc::new(Self { recognizer })
+ if recognizer.is_null() {
+ eyre::bail!("Failed to create recognizer");
+ }
+ Ok(Arc::new(Self { recognizer }))
}
pub fn from_paraformer(
paraformer: Paraformer,
- provider: Option<&str>,
tokens: &Path,
search: Search,
- debug: bool,
- num_threads: Option,
+ onnx_config: OnnxConfig,
hotwords: Option<&Path>,
hotwords_score: Option,
- ) -> Arc {
+ ) -> Result> {
let tokens_c = CString::new(tokens.to_str().unwrap()).unwrap();
- let provider_c = CString::new(provider.unwrap_or(get_default_provider())).unwrap();
+ let provider_c = CString::new(onnx_config.provider).unwrap();
+ let decoding_method_c = search.to_cstring();
+ let model_type_c = paraformer.model_type();
+ let modeling_unit_c = CString::new("cjkchar").unwrap();
+ let hotwords_c =
+ hotwords.map(|p| CString::new(p.to_str().unwrap_or(&p.to_string_lossy())).unwrap());
let mut model_config = unsafe { std::mem::zeroed::() };
- model_config.model_type = paraformer.model_type().into_raw();
+ model_config.model_type = model_type_c.as_ptr();
model_config.paraformer = paraformer.as_config();
- model_config.tokens = tokens_c.into_raw();
- model_config.num_threads = num_threads.unwrap_or(1);
- model_config.provider = provider_c.into_raw();
- model_config.debug = debug as i32;
- model_config.modeling_unit = CString::new("cjkchar").unwrap().into_raw();
+ model_config.tokens = tokens_c.as_ptr();
+ model_config.num_threads = onnx_config.num_threads;
+ model_config.provider = provider_c.as_ptr();
+ model_config.debug = onnx_config.debug as i32;
+ model_config.modeling_unit = modeling_unit_c.as_ptr();
let mut rec_config = unsafe { std::mem::zeroed::() };
rec_config.feat_config = SherpaOnnxFeatureConfig {
@@ -118,48 +122,51 @@ impl Recognizer {
feature_dim: 80,
};
rec_config.model_config = model_config;
- rec_config.decoding_method = search.into_raw().into_raw();
+ rec_config.decoding_method = decoding_method_c.as_ptr();
rec_config.max_active_paths = 4;
rec_config.enable_endpoint = 1;
rec_config.rule1_min_trailing_silence = 2.4;
rec_config.rule2_min_trailing_silence = 1.2;
rec_config.rule3_min_utterance_length = 300.0;
- if hotwords.is_some() {
- let hotwords_c =
- hotwords.map(|p| CString::new(p.to_str().unwrap()).unwrap().into_raw());
- rec_config.hotwords_file = hotwords_c.unwrap_or(std::ptr::null_mut());
+ if let Some(ref hw) = hotwords_c {
+ rec_config.hotwords_file = hw.as_ptr();
rec_config.hotwords_score = hotwords_score.unwrap_or(1.5);
}
let recognizer = unsafe { SherpaOnnxCreateOnlineRecognizer(&rec_config) };
- Arc::new(Self { recognizer })
+ if recognizer.is_null() {
+ eyre::bail!("Failed to create recognizer");
+ }
+
+ Ok(Arc::new(Self { recognizer }))
}
pub fn from_zipformer(
zipformer: Zipformer2Ctc,
- provider: Option<&str>,
tokens: &Path,
+ graph: &Path,
search: Search,
- debug: bool,
- num_threads: Option,
- graph: Option<&Path>,
+ onnx_config: OnnxConfig,
hotwords: Option<&Path>,
hotwords_score: Option,
- ) -> Arc {
- let tokens_c = CString::new(tokens.to_str().unwrap()).unwrap();
- let provider_c = CString::new(provider.unwrap_or(get_default_provider())).unwrap();
- let graph_c = CString::new(graph.unwrap().to_str().unwrap()).unwrap();
+ ) -> Result> {
+ let tokens_c = CString::new(tokens.to_str().unwrap_or(&tokens.to_string_lossy())).unwrap();
+ let provider_c = CString::new(onnx_config.provider).unwrap();
+ let graph_c = CString::new(graph.to_str().unwrap_or(&graph.to_string_lossy())).unwrap();
+ let hotwords_c =
+ hotwords.map(|p| CString::new(p.to_str().unwrap_or(&p.to_string_lossy())).unwrap());
+ let decoding_method_c = search.to_cstring();
+ let modeling_unit_c = CString::new("cjkchar").unwrap();
let mut model_config = unsafe { std::mem::zeroed::() };
- // model_config.model_type = zipformer.model_type().into_raw();
model_config.zipformer2_ctc = zipformer.as_config();
- model_config.tokens = tokens_c.into_raw();
- model_config.num_threads = num_threads.unwrap_or(1);
- model_config.provider = provider_c.into_raw();
- model_config.debug = debug as i32;
- model_config.modeling_unit = CString::new("cjkchar").unwrap().into_raw();
+ model_config.tokens = tokens_c.as_ptr();
+ model_config.num_threads = onnx_config.num_threads;
+ model_config.provider = provider_c.as_ptr();
+ model_config.debug = onnx_config.debug as i32;
+ model_config.modeling_unit = modeling_unit_c.as_ptr();
let mut rec_config = unsafe { std::mem::zeroed::() };
rec_config.feat_config = SherpaOnnxFeatureConfig {
@@ -167,29 +174,38 @@ impl Recognizer {
feature_dim: 80,
};
rec_config.model_config = model_config;
- rec_config.decoding_method = search.into_raw().into_raw();
+ rec_config.decoding_method = decoding_method_c.as_ptr();
rec_config.max_active_paths = 4;
rec_config.enable_endpoint = 1;
rec_config.rule1_min_trailing_silence = 2.4;
rec_config.rule2_min_trailing_silence = 1.2;
rec_config.rule3_min_utterance_length = 300.0;
rec_config.ctc_fst_decoder_config = SherpaOnnxOnlineCtcFstDecoderConfig {
- graph: graph_c.into_raw(),
+ graph: graph_c.as_ptr(),
max_active: 3000,
};
- if hotwords.is_some() {
- let hotwords_c =
- hotwords.map(|p| CString::new(p.to_str().unwrap()).unwrap().into_raw());
- rec_config.hotwords_file = hotwords_c.unwrap_or(std::ptr::null_mut());
+ if let Some(ref hw) = hotwords_c {
+ rec_config.hotwords_file = hw.as_ptr();
rec_config.hotwords_score = hotwords_score.unwrap_or(1.5);
}
let recognizer = unsafe { SherpaOnnxCreateOnlineRecognizer(&rec_config) };
- Arc::new(Self { recognizer })
+ if recognizer.is_null() {
+ eyre::bail!("Failed to create recognizer");
+ }
+
+ Ok(Arc::new(Self { recognizer }))
+ }
+
+ pub fn create_stream(self: &Arc) -> Result {
+ RecognizerStream::new(Arc::clone(self))
}
}
+unsafe impl Send for Recognizer {}
+unsafe impl Sync for Recognizer {}
+
impl Drop for Recognizer {
fn drop(&mut self) {
unsafe {
@@ -198,57 +214,38 @@ impl Drop for Recognizer {
}
}
-pub struct Stream {
+pub struct RecognizerStream {
recognizer: Arc,
- stream: *mut sherpa_rs_sys::SherpaOnnxOnlineStream,
- // display: *mut sherpa_rs_sys::SherpaOnnxDisplay,
+ stream: *const sherpa_rs_sys::SherpaOnnxOnlineStream,
}
-unsafe impl Send for Stream {}
-unsafe impl Sync for Stream {}
-
-impl Stream {
- pub fn from_recognizer(
- recognizer: Arc,
- // display: bool
- ) -> Self {
- let recognizer = recognizer.clone();
+impl RecognizerStream {
+ pub fn new(recognizer: Arc) -> Result {
let stream = unsafe { SherpaOnnxCreateOnlineStream(recognizer.recognizer) };
- // let display = if display {
- // unsafe { SherpaOnnxCreateDisplay() }
- // } else {
- // std::ptr::null_mut()
- // };
-
- println!("recognizer: {:?}, stream: {:?}", recognizer, stream);
- Self {
- recognizer,
- stream,
- // display
+ if stream.is_null() {
+ eyre::bail!("Failed to create stream");
}
+
+ Ok(Self { recognizer, stream })
}
}
-impl Drop for Stream {
+impl Drop for RecognizerStream {
fn drop(&mut self) {
unsafe {
- // if self.display != std::ptr::null_mut() {
- // sherpa_rs_sys::SherpaOnnxDestroyDisplay(self.display);
- // }
-
sherpa_rs_sys::SherpaOnnxDestroyOnlineStream(self.stream);
}
}
}
-impl OnlineStream for Stream {
- fn accept_waveform(&mut self, sample_rate: i32, samples: Vec) {
+impl Stream for RecognizerStream {
+ fn accept_waveform(&mut self, sample_rate: i32, samples: impl AsRef<[f32]>) {
unsafe {
sherpa_rs_sys::SherpaOnnxOnlineStreamAcceptWaveform(
self.stream,
sample_rate,
- samples.as_ptr(),
- samples.len() as i32,
+ samples.as_ref().as_ptr(),
+ samples.as_ref().len() as i32,
);
}
}
@@ -268,19 +265,15 @@ impl OnlineStream for Stream {
fn get_result(&mut self) -> String {
unsafe {
- let result = sherpa_rs_sys::SherpaOnnxGetOnlineStreamResult(
+ let raw_result = sherpa_rs_sys::SherpaOnnxGetOnlineStreamResult(
self.recognizer.recognizer,
self.stream,
);
- let raw_result = result.read();
- let text = CStr::from_ptr(raw_result.text);
- let text = text.to_str().unwrap().to_string();
- // let timestamps: &[f32] =
- // std::slice::from_raw_parts(raw_result.timestamps, raw_result.count as usize);
- let str = text;
- // Free
- sherpa_rs_sys::SherpaOnnxDestroyOnlineRecognizerResult(result);
- str
+ let result = raw_result.read();
+ let text = CStr::from_ptr(result.text).to_string_lossy().to_string();
+
+ sherpa_rs_sys::SherpaOnnxDestroyOnlineRecognizerResult(raw_result);
+ text
}
}
diff --git a/src/online/transducer.rs b/crates/sherpa-rs/src/online/transducer.rs
similarity index 100%
rename from src/online/transducer.rs
rename to crates/sherpa-rs/src/online/transducer.rs
diff --git a/src/online/zipformer2_ctc.rs b/crates/sherpa-rs/src/online/zipformer2_ctc.rs
similarity index 100%
rename from src/online/zipformer2_ctc.rs
rename to crates/sherpa-rs/src/online/zipformer2_ctc.rs
diff --git a/crates/sherpa-rs/src/paraformer.rs b/crates/sherpa-rs/src/paraformer.rs
new file mode 100644
index 0000000..e26a603
--- /dev/null
+++ b/crates/sherpa-rs/src/paraformer.rs
@@ -0,0 +1,136 @@
+use crate::{get_default_provider, utils::cstring_from_str};
+use eyre::{bail, Result};
+use std::{mem, ptr::null};
+
+#[derive(Debug)]
+pub struct ParaformerRecognizer {
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOfflineRecognizer,
+}
+
+pub type ParaformerRecognizerResult = super::OfflineRecognizerResult;
+
+#[derive(Debug, Clone)]
+pub struct ParaformerConfig {
+ pub model: String,
+ pub tokens: String,
+ pub provider: Option,
+ pub num_threads: Option,
+ pub debug: bool,
+}
+
+impl Default for ParaformerConfig {
+ fn default() -> Self {
+ Self {
+ model: String::new(),
+ tokens: String::new(),
+ debug: false,
+ provider: None,
+ num_threads: Some(1),
+ }
+ }
+}
+
+impl ParaformerRecognizer {
+ pub fn new(config: ParaformerConfig) -> Result {
+ let debug = config.debug.into();
+ let provider = config.provider.unwrap_or(get_default_provider());
+
+ // Prepare C strings
+ let provider_ptr = cstring_from_str(&provider);
+ let model_ptr = cstring_from_str(&config.model);
+ let tokens_ptr = cstring_from_str(&config.tokens);
+
+ // 创建 decoding_method 的 CString 对象并绑定到变量
+ let decoding_method_ptr = cstring_from_str("greedy_search");
+
+ // Paraformer model config
+ let paraformer_config = sherpa_rs_sys::SherpaOnnxOfflineParaformerModelConfig {
+ model: model_ptr.as_ptr(),
+ };
+
+ // Offline model config
+ let model_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineModelConfig {
+ debug,
+ num_threads: config.num_threads.unwrap_or(1),
+ provider: provider_ptr.as_ptr(),
+ tokens: tokens_ptr.as_ptr(),
+ paraformer: paraformer_config,
+
+ // Null other model types
+ bpe_vocab: mem::zeroed::<_>(),
+ model_type: mem::zeroed::<_>(),
+ modeling_unit: mem::zeroed::<_>(),
+ nemo_ctc: mem::zeroed::<_>(),
+ tdnn: mem::zeroed::<_>(),
+ telespeech_ctc: null(),
+ fire_red_asr: mem::zeroed::<_>(),
+ transducer: mem::zeroed::<_>(),
+ whisper: mem::zeroed::<_>(),
+ sense_voice: mem::zeroed::<_>(),
+ moonshine: mem::zeroed::<_>(),
+ dolphin: mem::zeroed::<_>(),
+ }
+ };
+
+ // Recognizer config
+ let recognizer_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineRecognizerConfig {
+ decoding_method: decoding_method_ptr.as_ptr(),
+ feat_config: sherpa_rs_sys::SherpaOnnxFeatureConfig {
+ sample_rate: 16000,
+ feature_dim: 80,
+ },
+ model_config,
+ hotwords_file: null(),
+ hotwords_score: 0.0,
+ lm_config: mem::zeroed::<_>(),
+ max_active_paths: 0,
+ rule_fars: null(),
+ rule_fsts: null(),
+ blank_penalty: 0.0,
+ hr: mem::zeroed::<_>(),
+ }
+ };
+
+ let recognizer =
+ unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflineRecognizer(&recognizer_config) };
+ if recognizer.is_null() {
+ bail!("Failed to create Paraformer recognizer");
+ }
+
+ Ok(Self { recognizer })
+ }
+
+ pub fn transcribe(&mut self, sample_rate: u32, samples: &[f32]) -> ParaformerRecognizerResult {
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxCreateOfflineStream(self.recognizer);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len() as i32,
+ );
+ sherpa_rs_sys::SherpaOnnxDecodeOfflineStream(self.recognizer, stream);
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetOfflineStreamResult(stream);
+ let raw_result = result_ptr.read();
+ let result = ParaformerRecognizerResult::new(&raw_result);
+
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizerResult(result_ptr);
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+
+ result
+ }
+ }
+}
+
+unsafe impl Send for ParaformerRecognizer {}
+unsafe impl Sync for ParaformerRecognizer {}
+
+impl Drop for ParaformerRecognizer {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizer(self.recognizer);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/punctuate.rs b/crates/sherpa-rs/src/punctuate.rs
new file mode 100644
index 0000000..5045473
--- /dev/null
+++ b/crates/sherpa-rs/src/punctuate.rs
@@ -0,0 +1,70 @@
+use eyre::{bail, Result};
+
+use crate::{
+ get_default_provider,
+ utils::{cstr_to_string, cstring_from_str},
+};
+
+#[derive(Debug, Default, Clone)]
+pub struct PunctuationConfig {
+ pub model: String,
+ pub debug: bool,
+ pub num_threads: Option,
+ pub provider: Option,
+}
+
+pub struct Punctuation {
+ audio_punctuation: *const sherpa_rs_sys::SherpaOnnxOfflinePunctuation,
+}
+
+impl Punctuation {
+ pub fn new(config: PunctuationConfig) -> Result {
+ let model = cstring_from_str(&config.model);
+ let provider = cstring_from_str(&config.provider.unwrap_or(if cfg!(target_os = "macos") {
+ // TODO: sherpa-onnx/issues/1448
+ "cpu".into()
+ } else {
+ get_default_provider()
+ }));
+
+ let sherpa_config = sherpa_rs_sys::SherpaOnnxOfflinePunctuationConfig {
+ model: sherpa_rs_sys::SherpaOnnxOfflinePunctuationModelConfig {
+ ct_transformer: model.as_ptr(),
+ num_threads: config.num_threads.unwrap_or(1),
+ debug: config.debug.into(),
+ provider: provider.as_ptr(),
+ },
+ };
+ let audio_punctuation =
+ unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflinePunctuation(&sherpa_config) };
+
+ if audio_punctuation.is_null() {
+ bail!("Failed to create audio punctuation");
+ }
+ Ok(Self { audio_punctuation })
+ }
+
+ pub fn add_punctuation(&mut self, text: &str) -> String {
+ let text = cstring_from_str(text);
+ unsafe {
+ let text_with_punct_ptr = sherpa_rs_sys::SherpaOfflinePunctuationAddPunct(
+ self.audio_punctuation,
+ text.as_ptr(),
+ );
+ let text_with_punct = cstr_to_string(text_with_punct_ptr as _);
+ sherpa_rs_sys::SherpaOfflinePunctuationFreeText(text_with_punct_ptr);
+ text_with_punct
+ }
+ }
+}
+
+unsafe impl Send for Punctuation {}
+unsafe impl Sync for Punctuation {}
+
+impl Drop for Punctuation {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflinePunctuation(self.audio_punctuation);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/sense_voice.rs b/crates/sherpa-rs/src/sense_voice.rs
new file mode 100644
index 0000000..44365ce
--- /dev/null
+++ b/crates/sherpa-rs/src/sense_voice.rs
@@ -0,0 +1,141 @@
+use crate::{get_default_provider, utils::cstring_from_str};
+use eyre::{bail, Result};
+use std::mem;
+
+#[derive(Debug)]
+pub struct SenseVoiceRecognizer {
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOfflineRecognizer,
+}
+
+pub type SenseVoiceRecognizerResult = super::OfflineRecognizerResult;
+
+#[derive(Debug, Clone)]
+pub struct SenseVoiceConfig {
+ pub model: String,
+ pub language: String,
+ pub use_itn: bool,
+ pub provider: Option,
+ pub num_threads: Option,
+ pub debug: bool,
+ pub tokens: String,
+}
+
+impl Default for SenseVoiceConfig {
+ fn default() -> Self {
+ Self {
+ model: String::new(),
+ language: "auto".into(),
+ use_itn: true,
+ provider: None,
+ num_threads: Some(1),
+ debug: false,
+ tokens: String::new(),
+ }
+ }
+}
+
+impl SenseVoiceRecognizer {
+ pub fn new(config: SenseVoiceConfig) -> Result {
+ let debug = config.debug.into();
+ let provider = config.provider.unwrap_or(get_default_provider());
+ let provider_ptr = cstring_from_str(&provider);
+ let num_threads = config.num_threads.unwrap_or(1);
+
+ // SenseVoice specific config
+ let model_ptr = cstring_from_str(&config.model);
+ let language_ptr = cstring_from_str(&config.language);
+ let use_itn = if config.use_itn { 1 } else { 0 };
+
+ let sense_voice_config = sherpa_rs_sys::SherpaOnnxOfflineSenseVoiceModelConfig {
+ model: model_ptr.as_ptr(),
+ language: language_ptr.as_ptr(),
+ use_itn,
+ };
+
+ // General model config
+ let tokens_ptr = cstring_from_str(&config.tokens);
+ let model_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineModelConfig {
+ tokens: tokens_ptr.as_ptr(),
+ provider: provider_ptr.as_ptr(),
+ num_threads,
+ debug,
+ sense_voice: sense_voice_config,
+ // Other fields set to default/null
+ bpe_vocab: mem::zeroed::<_>(),
+ model_type: mem::zeroed::<_>(),
+ modeling_unit: mem::zeroed::<_>(),
+ nemo_ctc: mem::zeroed::<_>(),
+ paraformer: mem::zeroed::<_>(),
+ tdnn: mem::zeroed::<_>(),
+ telespeech_ctc: mem::zeroed::<_>(),
+ fire_red_asr: mem::zeroed::<_>(),
+ transducer: mem::zeroed::<_>(),
+ whisper: mem::zeroed::<_>(),
+ moonshine: mem::zeroed::<_>(),
+ dolphin: mem::zeroed::<_>(),
+ }
+ };
+
+ // Recognizer config
+ let config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineRecognizerConfig {
+ decoding_method: mem::zeroed::<_>(),
+ feat_config: sherpa_rs_sys::SherpaOnnxFeatureConfig {
+ sample_rate: 16000,
+ feature_dim: 80,
+ },
+ hotwords_file: mem::zeroed::<_>(),
+ hotwords_score: 0.0,
+ lm_config: sherpa_rs_sys::SherpaOnnxOfflineLMConfig {
+ model: mem::zeroed::<_>(),
+ scale: 0.0,
+ },
+ max_active_paths: 0,
+ model_config,
+ rule_fars: mem::zeroed::<_>(),
+ rule_fsts: mem::zeroed::<_>(),
+ blank_penalty: 0.0,
+ hr: mem::zeroed::<_>(),
+ }
+ };
+
+ let recognizer = unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflineRecognizer(&config) };
+ if recognizer.is_null() {
+ bail!("Failed to create recognizer");
+ }
+
+ Ok(Self { recognizer })
+ }
+
+ pub fn transcribe(&mut self, sample_rate: u32, samples: &[f32]) -> SenseVoiceRecognizerResult {
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxCreateOfflineStream(self.recognizer);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len().try_into().unwrap(),
+ );
+ sherpa_rs_sys::SherpaOnnxDecodeOfflineStream(self.recognizer, stream);
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetOfflineStreamResult(stream);
+ let raw_result = result_ptr.read();
+ let result = SenseVoiceRecognizerResult::new(&raw_result);
+ // Free resources
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizerResult(result_ptr);
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+ result
+ }
+ }
+}
+
+unsafe impl Send for SenseVoiceRecognizer {}
+unsafe impl Sync for SenseVoiceRecognizer {}
+
+impl Drop for SenseVoiceRecognizer {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizer(self.recognizer);
+ }
+ }
+}
diff --git a/src/speaker_id.rs b/crates/sherpa-rs/src/speaker_id.rs
similarity index 70%
rename from src/speaker_id.rs
rename to crates/sherpa-rs/src/speaker_id.rs
index 35c3512..4f78fdd 100644
--- a/src/speaker_id.rs
+++ b/crates/sherpa-rs/src/speaker_id.rs
@@ -1,15 +1,17 @@
use eyre::{bail, Result};
-use std::{ffi::CString, path::PathBuf};
+use std::path::PathBuf;
-use crate::get_default_provider;
+use crate::{get_default_provider, utils::cstring_from_str};
/// If similarity is greater or equal to thresold than it's a match!
pub const DEFAULT_SIMILARITY_THRESHOLD: f32 = 0.5;
-#[derive(Debug)]
+#[derive(Debug, Default)]
pub struct ExtractorConfig {
- pub(crate) cfg: sherpa_rs_sys::SherpaOnnxSpeakerEmbeddingExtractorConfig,
- model: String,
+ pub model: String,
+ pub provider: Option,
+ pub num_threads: Option,
+ pub debug: bool,
}
#[derive(Debug)]
@@ -18,40 +20,28 @@ pub struct EmbeddingExtractor {
pub embedding_size: usize,
}
-impl ExtractorConfig {
- pub fn new(
- model: String,
- provider: Option<&str>,
- num_threads: Option,
- debug: bool,
- ) -> Self {
- let provider = provider.unwrap_or(get_default_provider());
- let num_threads = num_threads.unwrap_or(2);
- let debug = if debug { 1 } else { 0 };
- let model_cstr = CString::new(model.clone()).unwrap();
- let provider = CString::new(provider).unwrap();
- let cfg = sherpa_rs_sys::SherpaOnnxSpeakerEmbeddingExtractorConfig {
- debug,
- model: model_cstr.into_raw(),
- num_threads,
- provider: provider.into_raw(),
- };
- Self { cfg, model }
- }
+impl EmbeddingExtractor {
+ pub fn new(config: ExtractorConfig) -> Result {
+ let provider = config.provider.unwrap_or(get_default_provider());
- pub fn as_ptr(&self) -> *const sherpa_rs_sys::SherpaOnnxSpeakerEmbeddingExtractorConfig {
- &self.cfg
- }
-}
+ let num_threads = config.num_threads.unwrap_or(1);
+ let debug = config.debug.into();
-impl EmbeddingExtractor {
- pub fn new_from_config(config: ExtractorConfig) -> Result {
let model_path = PathBuf::from(&config.model);
if !model_path.exists() {
bail!("model not found at {}", model_path.display())
}
+ let model = cstring_from_str(&config.model);
+ let provider = cstring_from_str(&provider);
+
+ let extractor_config = sherpa_rs_sys::SherpaOnnxSpeakerEmbeddingExtractorConfig {
+ debug,
+ model: model.as_ptr(),
+ num_threads: num_threads as i32,
+ provider: provider.as_ptr(),
+ };
let extractor =
- unsafe { sherpa_rs_sys::SherpaOnnxCreateSpeakerEmbeddingExtractor(config.as_ptr()) };
+ unsafe { sherpa_rs_sys::SherpaOnnxCreateSpeakerEmbeddingExtractor(&extractor_config) };
// Assume embedding size is known or can be retrieved
let embedding_size =
unsafe { sherpa_rs_sys::SherpaOnnxSpeakerEmbeddingExtractorDim(extractor) }
@@ -65,8 +55,8 @@ impl EmbeddingExtractor {
pub fn compute_speaker_embedding(
&mut self,
- sample_rate: i32,
samples: Vec,
+ sample_rate: u32,
) -> Result> {
unsafe {
let stream =
@@ -77,7 +67,7 @@ impl EmbeddingExtractor {
sherpa_rs_sys::SherpaOnnxOnlineStreamAcceptWaveform(
stream,
- sample_rate,
+ sample_rate as i32,
samples.as_ptr(),
samples.len() as i32,
);
@@ -94,7 +84,7 @@ impl EmbeddingExtractor {
if embedding_ptr.is_null() {
bail!("Failed to compute speaker embedding");
}
- log::debug!("using dimensions {}", self.embedding_size);
+ tracing::debug!("using dimensions {}", self.embedding_size);
let embedding = std::slice::from_raw_parts(embedding_ptr, self.embedding_size).to_vec();
// Free
sherpa_rs_sys::SherpaOnnxDestroyOnlineStream(stream);
diff --git a/crates/sherpa-rs/src/transducer.rs b/crates/sherpa-rs/src/transducer.rs
new file mode 100644
index 0000000..5a1ca04
--- /dev/null
+++ b/crates/sherpa-rs/src/transducer.rs
@@ -0,0 +1,156 @@
+use crate::utils::cstr_to_string;
+use crate::{get_default_provider, utils::cstring_from_str};
+use eyre::{bail, Result};
+use std::mem;
+
+pub struct TransducerRecognizer {
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOfflineRecognizer,
+}
+
+#[derive(Debug, Clone)]
+pub struct TransducerConfig {
+ pub decoder: String,
+ pub encoder: String,
+ pub joiner: String,
+ pub tokens: String,
+ pub num_threads: i32,
+ pub sample_rate: i32,
+ pub feature_dim: i32,
+ pub decoding_method: String,
+ pub hotwords_file: String,
+ pub hotwords_score: f32,
+ pub modeling_unit: String,
+ pub bpe_vocab: String,
+ pub blank_penalty: f32,
+ pub model_type: String,
+ pub debug: bool,
+ pub provider: Option,
+}
+
+impl Default for TransducerConfig {
+ fn default() -> Self {
+ TransducerConfig {
+ decoder: String::new(),
+ encoder: String::new(),
+ joiner: String::new(),
+ tokens: String::new(),
+ model_type: String::from("transducer"),
+ num_threads: 1,
+ sample_rate: 0,
+ feature_dim: 0,
+ decoding_method: String::new(),
+ hotwords_file: String::new(),
+ hotwords_score: 0.0,
+ modeling_unit: String::new(),
+ bpe_vocab: String::new(),
+ blank_penalty: 0.0,
+ debug: false,
+ provider: None,
+ }
+ }
+}
+
+impl TransducerRecognizer {
+ pub fn new(config: TransducerConfig) -> Result {
+ let recognizer = unsafe {
+ let debug = config.debug.into();
+ let provider = config.provider.unwrap_or(get_default_provider());
+ let provider_ptr = cstring_from_str(&provider);
+
+ let encoder = cstring_from_str(&config.encoder);
+ let decoder = cstring_from_str(&config.decoder);
+ let joiner = cstring_from_str(&config.joiner);
+ let model_type = cstring_from_str(&config.model_type);
+ let modeling_unit = cstring_from_str(&config.modeling_unit);
+ let bpe_vocab = cstring_from_str(&config.bpe_vocab);
+ let hotwords_file = cstring_from_str(&config.hotwords_file);
+ let tokens = cstring_from_str(&config.tokens);
+ let decoding_method = cstring_from_str(&config.decoding_method);
+
+ let offline_model_config = sherpa_rs_sys::SherpaOnnxOfflineModelConfig {
+ transducer: sherpa_rs_sys::SherpaOnnxOfflineTransducerModelConfig {
+ encoder: encoder.as_ptr(),
+ decoder: decoder.as_ptr(),
+ joiner: joiner.as_ptr(),
+ },
+ tokens: tokens.as_ptr(),
+ num_threads: config.num_threads,
+ debug,
+ provider: provider_ptr.as_ptr(),
+ model_type: model_type.as_ptr(),
+ modeling_unit: modeling_unit.as_ptr(),
+ bpe_vocab: bpe_vocab.as_ptr(),
+
+ // NULLs
+ telespeech_ctc: mem::zeroed::<_>(),
+ paraformer: mem::zeroed::<_>(),
+ tdnn: mem::zeroed::<_>(),
+ nemo_ctc: mem::zeroed::<_>(),
+ whisper: mem::zeroed::<_>(),
+ sense_voice: mem::zeroed::<_>(),
+ moonshine: mem::zeroed::<_>(),
+ fire_red_asr: mem::zeroed::<_>(),
+ dolphin: mem::zeroed::<_>(),
+ };
+
+ let recognizer_config = sherpa_rs_sys::SherpaOnnxOfflineRecognizerConfig {
+ model_config: offline_model_config,
+ feat_config: sherpa_rs_sys::SherpaOnnxFeatureConfig {
+ sample_rate: config.sample_rate,
+ feature_dim: config.feature_dim,
+ },
+ hotwords_file: hotwords_file.as_ptr(),
+ blank_penalty: config.blank_penalty,
+ decoding_method: decoding_method.as_ptr(),
+ hotwords_score: config.hotwords_score,
+
+ // NULLs
+ lm_config: mem::zeroed::<_>(),
+ rule_fsts: mem::zeroed::<_>(),
+ rule_fars: mem::zeroed::<_>(),
+ max_active_paths: mem::zeroed::<_>(),
+ hr: mem::zeroed::<_>(),
+ };
+
+ let recognizer = sherpa_rs_sys::SherpaOnnxCreateOfflineRecognizer(&recognizer_config);
+ if recognizer.is_null() {
+ bail!("SherpaOnnxCreateOfflineRecognizer failed");
+ }
+ recognizer
+ };
+
+ Ok(Self { recognizer })
+ }
+
+ pub fn transcribe(&mut self, sample_rate: u32, samples: &[f32]) -> String {
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxCreateOfflineStream(self.recognizer);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len().try_into().unwrap(),
+ );
+ sherpa_rs_sys::SherpaOnnxDecodeOfflineStream(self.recognizer, stream);
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetOfflineStreamResult(stream);
+ let raw_result = result_ptr.read();
+ let text = cstr_to_string(raw_result.text as _);
+
+ // Free
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizerResult(result_ptr);
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+ text
+ }
+ }
+}
+
+unsafe impl Send for TransducerRecognizer {}
+unsafe impl Sync for TransducerRecognizer {}
+
+impl Drop for TransducerRecognizer {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizer(self.recognizer);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/tts/kokoro.rs b/crates/sherpa-rs/src/tts/kokoro.rs
new file mode 100644
index 0000000..26dab65
--- /dev/null
+++ b/crates/sherpa-rs/src/tts/kokoro.rs
@@ -0,0 +1,83 @@
+use std::{mem, ptr::null};
+
+use crate::{utils::cstring_from_str, OnnxConfig};
+use eyre::Result;
+use sherpa_rs_sys;
+
+use super::{CommonTtsConfig, TtsAudio};
+
+pub struct KokoroTts {
+ tts: *const sherpa_rs_sys::SherpaOnnxOfflineTts,
+}
+
+#[derive(Default)]
+pub struct KokoroTtsConfig {
+ pub model: String,
+ pub voices: String,
+ pub tokens: String,
+ pub data_dir: String,
+ pub dict_dir: String,
+ pub lexicon: String,
+ pub length_scale: f32,
+ pub onnx_config: OnnxConfig,
+ pub common_config: CommonTtsConfig,
+}
+
+impl KokoroTts {
+ pub fn new(config: KokoroTtsConfig) -> Self {
+ let tts = unsafe {
+ let model = cstring_from_str(&config.model);
+ let voices = cstring_from_str(&config.voices);
+ let tokens = cstring_from_str(&config.tokens);
+ let data_dir = cstring_from_str(&config.data_dir);
+ let dict_dir = cstring_from_str(&config.dict_dir);
+ let lexicon = cstring_from_str(&config.lexicon);
+
+ let provider = cstring_from_str(&config.onnx_config.provider);
+
+ let tts_config = config.common_config.to_raw();
+
+ let model_config = sherpa_rs_sys::SherpaOnnxOfflineTtsModelConfig {
+ vits: mem::zeroed::<_>(),
+ num_threads: config.onnx_config.num_threads,
+ debug: config.onnx_config.debug.into(),
+ provider: provider.as_ptr(),
+ matcha: mem::zeroed::<_>(),
+ kokoro: sherpa_rs_sys::SherpaOnnxOfflineTtsKokoroModelConfig {
+ model: model.as_ptr(),
+ voices: voices.as_ptr(),
+ tokens: tokens.as_ptr(),
+ data_dir: data_dir.as_ptr(),
+ length_scale: config.length_scale,
+ dict_dir: dict_dir.as_ptr(),
+ lexicon: lexicon.as_ptr(),
+ },
+ };
+ let config = sherpa_rs_sys::SherpaOnnxOfflineTtsConfig {
+ max_num_sentences: config.common_config.max_num_sentences,
+ model: model_config,
+ rule_fars: tts_config.rule_fars.map(|v| v.as_ptr()).unwrap_or(null()),
+ rule_fsts: tts_config.rule_fsts.map(|v| v.as_ptr()).unwrap_or(null()),
+ silence_scale: config.common_config.silence_scale,
+ };
+ sherpa_rs_sys::SherpaOnnxCreateOfflineTts(&config)
+ };
+
+ Self { tts }
+ }
+
+ pub fn create(&mut self, text: &str, sid: i32, speed: f32) -> Result {
+ unsafe { super::create(self.tts, text, sid, speed) }
+ }
+}
+
+unsafe impl Send for KokoroTts {}
+unsafe impl Sync for KokoroTts {}
+
+impl Drop for KokoroTts {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineTts(self.tts);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/tts/matcha.rs b/crates/sherpa-rs/src/tts/matcha.rs
new file mode 100644
index 0000000..ab1dd76
--- /dev/null
+++ b/crates/sherpa-rs/src/tts/matcha.rs
@@ -0,0 +1,90 @@
+use std::{mem, ptr::null};
+
+use crate::{utils::cstring_from_str, OnnxConfig};
+use eyre::Result;
+use sherpa_rs_sys;
+
+use super::{CommonTtsConfig, TtsAudio};
+
+pub struct MatchaTts {
+ tts: *const sherpa_rs_sys::SherpaOnnxOfflineTts,
+}
+
+#[derive(Default)]
+pub struct MatchaTtsConfig {
+ pub model: String,
+ pub lexicon: String,
+ pub dict_dir: String,
+ pub tokens: String,
+ pub data_dir: String,
+ pub acoustic_model: String,
+ pub vocoder: String,
+ pub length_scale: f32,
+ pub noise_scale: f32,
+ pub noise_scale_w: f32,
+ pub silence_scale: f32,
+
+ pub common_config: CommonTtsConfig,
+ pub onnx_config: OnnxConfig,
+}
+
+impl MatchaTts {
+ pub fn new(config: MatchaTtsConfig) -> Self {
+ let tts = unsafe {
+ let tokens = cstring_from_str(&config.tokens);
+ let data_dir = cstring_from_str(&config.data_dir);
+ let lexicon = cstring_from_str(&config.lexicon);
+ let dict_dir = cstring_from_str(&config.dict_dir);
+
+ let vocoder = cstring_from_str(&config.vocoder);
+ let acoustic_model = cstring_from_str(&config.acoustic_model);
+
+ let provider = cstring_from_str(&config.onnx_config.provider);
+
+ let tts_config = config.common_config.to_raw();
+
+ let model_config = sherpa_rs_sys::SherpaOnnxOfflineTtsModelConfig {
+ num_threads: config.onnx_config.num_threads,
+ vits: mem::zeroed::<_>(),
+ debug: config.onnx_config.debug.into(),
+ provider: provider.as_ptr(),
+ matcha: sherpa_rs_sys::SherpaOnnxOfflineTtsMatchaModelConfig {
+ acoustic_model: acoustic_model.as_ptr(),
+ vocoder: vocoder.as_ptr(),
+ lexicon: lexicon.as_ptr(),
+ tokens: tokens.as_ptr(),
+ data_dir: data_dir.as_ptr(),
+ noise_scale: config.noise_scale,
+ length_scale: config.length_scale,
+ dict_dir: dict_dir.as_ptr(),
+ },
+ kokoro: mem::zeroed::<_>(),
+ };
+ let config = sherpa_rs_sys::SherpaOnnxOfflineTtsConfig {
+ max_num_sentences: config.common_config.max_num_sentences,
+ model: model_config,
+ rule_fars: tts_config.rule_fars.map(|v| v.as_ptr()).unwrap_or(null()),
+ rule_fsts: tts_config.rule_fsts.map(|v| v.as_ptr()).unwrap_or(null()),
+ silence_scale: config.silence_scale,
+ };
+ sherpa_rs_sys::SherpaOnnxCreateOfflineTts(&config)
+ };
+
+ Self { tts }
+ }
+
+ pub fn create(&mut self, text: &str, sid: i32, speed: f32) -> Result {
+ unsafe { super::create(self.tts, text, sid, speed) }
+ }
+}
+
+unsafe impl Send for MatchaTts {}
+unsafe impl Sync for MatchaTts {}
+
+impl Drop for MatchaTts {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineTts(self.tts);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/tts/mod.rs b/crates/sherpa-rs/src/tts/mod.rs
new file mode 100644
index 0000000..1a79341
--- /dev/null
+++ b/crates/sherpa-rs/src/tts/mod.rs
@@ -0,0 +1,94 @@
+mod kokoro;
+mod matcha;
+mod vits;
+
+use std::ffi::CString;
+
+use eyre::{bail, Result};
+
+pub use kokoro::{KokoroTts, KokoroTtsConfig};
+pub use matcha::{MatchaTts, MatchaTtsConfig};
+pub use vits::{VitsTts, VitsTtsConfig};
+
+use crate::utils::cstring_from_str;
+
+#[derive(Debug)]
+pub struct TtsAudio {
+ pub samples: Vec,
+ pub sample_rate: u32,
+ pub duration: i32,
+}
+
+#[derive(Default)]
+pub struct CommonTtsConfig {
+ pub rule_fars: String,
+ pub rule_fsts: String,
+ pub max_num_sentences: i32,
+ pub silence_scale: f32,
+}
+
+pub struct CommonTtsRaw {
+ pub rule_fars: Option,
+ pub rule_fsts: Option,
+ pub max_num_sentences: i32,
+}
+
+impl CommonTtsConfig {
+ pub fn to_raw(&self) -> CommonTtsRaw {
+ let rule_fars = if self.rule_fars.is_empty() {
+ None
+ } else {
+ Some(cstring_from_str(&self.rule_fars))
+ };
+
+ let rule_fsts = if self.rule_fsts.is_empty() {
+ None
+ } else {
+ Some(cstring_from_str(&self.rule_fsts))
+ };
+
+ CommonTtsRaw {
+ rule_fars,
+ rule_fsts,
+ max_num_sentences: self.max_num_sentences,
+ }
+ }
+}
+
+/// # Safety
+///
+/// This function dereference sherpa_rs_sys::SherpaOnnxOfflineTts
+pub unsafe fn create(
+ tts: *const sherpa_rs_sys::SherpaOnnxOfflineTts,
+ text: &str,
+ sid: i32,
+ speed: f32,
+) -> Result {
+ let text = cstring_from_str(text);
+ let audio_ptr = sherpa_rs_sys::SherpaOnnxOfflineTtsGenerate(tts, text.as_ptr(), sid, speed);
+
+ if audio_ptr.is_null() {
+ bail!("audio is null");
+ }
+ let audio = audio_ptr.read();
+
+ if audio.n.is_negative() {
+ bail!("no samples found");
+ }
+ if audio.samples.is_null() {
+ bail!("audio samples are null");
+ }
+ let samples: &[f32] = std::slice::from_raw_parts(audio.samples, audio.n as usize);
+ let samples = samples.to_vec();
+ let sample_rate = audio.sample_rate;
+ let duration = (samples.len() as i32) / sample_rate;
+
+ // Free
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineTtsGeneratedAudio(audio_ptr);
+
+ Ok(TtsAudio {
+ samples,
+ sample_rate: sample_rate as u32,
+ duration,
+ })
+}
diff --git a/crates/sherpa-rs/src/tts/vits.rs b/crates/sherpa-rs/src/tts/vits.rs
new file mode 100644
index 0000000..70611d7
--- /dev/null
+++ b/crates/sherpa-rs/src/tts/vits.rs
@@ -0,0 +1,86 @@
+use std::{mem, ptr::null};
+
+use crate::{utils::cstring_from_str, OnnxConfig};
+use eyre::Result;
+use sherpa_rs_sys;
+
+use super::{CommonTtsConfig, TtsAudio};
+
+pub struct VitsTts {
+ tts: *const sherpa_rs_sys::SherpaOnnxOfflineTts,
+}
+
+#[derive(Default)]
+pub struct VitsTtsConfig {
+ pub model: String,
+ pub lexicon: String,
+ pub dict_dir: String,
+ pub tokens: String,
+ pub data_dir: String,
+ pub length_scale: f32,
+ pub noise_scale: f32,
+ pub noise_scale_w: f32,
+ pub silence_scale: f32,
+
+ pub onnx_config: OnnxConfig,
+ pub tts_config: CommonTtsConfig,
+}
+
+impl VitsTts {
+ pub fn new(config: VitsTtsConfig) -> Self {
+ let tts = unsafe {
+ let model = cstring_from_str(&config.model);
+ let tokens = cstring_from_str(&config.tokens);
+ let data_dir = cstring_from_str(&config.data_dir);
+ let lexicon = cstring_from_str(&config.lexicon);
+ let dict_dir = cstring_from_str(&config.dict_dir);
+
+ let provider = cstring_from_str(&config.onnx_config.provider);
+
+ let tts_config = config.tts_config.to_raw();
+
+ let model_config = sherpa_rs_sys::SherpaOnnxOfflineTtsModelConfig {
+ num_threads: config.onnx_config.num_threads,
+ vits: sherpa_rs_sys::SherpaOnnxOfflineTtsVitsModelConfig {
+ model: model.as_ptr(),
+ lexicon: lexicon.as_ptr(),
+ tokens: tokens.as_ptr(),
+ data_dir: data_dir.as_ptr(),
+ noise_scale: config.noise_scale,
+ noise_scale_w: config.noise_scale_w,
+ length_scale: config.length_scale,
+ dict_dir: dict_dir.as_ptr(),
+ },
+ debug: config.onnx_config.debug.into(),
+ provider: provider.as_ptr(),
+ matcha: mem::zeroed::<_>(),
+ kokoro: mem::zeroed::<_>(),
+ };
+ let config = sherpa_rs_sys::SherpaOnnxOfflineTtsConfig {
+ max_num_sentences: config.tts_config.max_num_sentences,
+ model: model_config,
+ rule_fars: tts_config.rule_fars.map(|v| v.as_ptr()).unwrap_or(null()),
+ rule_fsts: tts_config.rule_fsts.map(|v| v.as_ptr()).unwrap_or(null()),
+ silence_scale: config.silence_scale,
+ };
+ sherpa_rs_sys::SherpaOnnxCreateOfflineTts(&config)
+ };
+
+ Self { tts }
+ }
+
+ pub fn create(&mut self, text: &str, sid: i32, speed: f32) -> Result {
+ unsafe { super::create(self.tts, text, sid, speed) }
+ }
+}
+
+unsafe impl Send for VitsTts {}
+unsafe impl Sync for VitsTts {}
+
+impl Drop for VitsTts {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineTts(self.tts);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/utils.rs b/crates/sherpa-rs/src/utils.rs
new file mode 100644
index 0000000..8e15276
--- /dev/null
+++ b/crates/sherpa-rs/src/utils.rs
@@ -0,0 +1,13 @@
+use std::ffi::{c_char, CString};
+
+pub fn cstring_from_str(s: &str) -> CString {
+ CString::new(s).expect("CString::new failed")
+}
+
+pub unsafe fn cstr_to_string(ptr: *const c_char) -> String {
+ if ptr.is_null() {
+ String::new()
+ } else {
+ std::ffi::CStr::from_ptr(ptr).to_string_lossy().into_owned()
+ }
+}
diff --git a/src/vad.rs b/crates/sherpa-rs/src/vad.rs
similarity index 59%
rename from src/vad.rs
rename to crates/sherpa-rs/src/vad.rs
index effadad..fb7e3d7 100644
--- a/src/vad.rs
+++ b/crates/sherpa-rs/src/vad.rs
@@ -1,54 +1,39 @@
-use crate::get_default_provider;
+use crate::{get_default_provider, utils::cstring_from_str};
use eyre::Result;
-use std::ffi::CString;
#[derive(Debug)]
-pub struct VadConfig {
- pub(crate) cfg: sherpa_rs_sys::SherpaOnnxVadModelConfig,
+pub struct Vad {
+ pub(crate) vad: *const sherpa_rs_sys::SherpaOnnxVoiceActivityDetector,
}
#[derive(Debug)]
-pub struct Vad {
- pub(crate) vad: *mut sherpa_rs_sys::SherpaOnnxVoiceActivityDetector,
+pub struct VadConfig {
+ pub model: String,
+ pub min_silence_duration: f32,
+ pub min_speech_duration: f32,
+ pub max_speech_duration: f32,
+ pub threshold: f32,
+ pub sample_rate: u32,
+ pub window_size: i32,
+ pub provider: Option,
+ pub num_threads: Option,
+ pub debug: bool,
}
-impl VadConfig {
- pub fn new(
- model: String,
- min_silence_duration: f32,
- min_speech_duration: f32,
- threshold: f32,
- sample_rate: i32,
- window_size: i32,
- provider: Option<&str>,
- num_threads: Option,
- debug: Option,
- ) -> Self {
- let provider = provider.unwrap_or(get_default_provider());
- let provider = CString::new(provider).unwrap();
- let model = CString::new(model).unwrap();
-
- let silero_vad = sherpa_rs_sys::SherpaOnnxSileroVadModelConfig {
- model: model.into_raw(),
- min_silence_duration,
- min_speech_duration,
- threshold,
- window_size,
- };
- let debug = debug.unwrap_or(false);
- let debug = if debug { 1 } else { 0 };
- let cfg = sherpa_rs_sys::SherpaOnnxVadModelConfig {
- debug,
- provider: provider.into_raw(),
- num_threads: num_threads.unwrap_or(1),
- sample_rate,
- silero_vad,
- };
- Self { cfg }
- }
-
- pub fn as_ptr(&self) -> *const sherpa_rs_sys::SherpaOnnxVadModelConfig {
- &self.cfg
+impl Default for VadConfig {
+ fn default() -> Self {
+ Self {
+ model: String::new(),
+ min_silence_duration: 0.5,
+ min_speech_duration: 0.5,
+ max_speech_duration: 0.5,
+ threshold: 0.5,
+ sample_rate: 16000,
+ window_size: 512,
+ provider: None,
+ num_threads: Some(1),
+ debug: false,
+ }
}
}
@@ -59,12 +44,35 @@ pub struct SpeechSegment {
}
impl Vad {
- pub fn new_from_config(config: VadConfig, buffer_size_in_seconds: f32) -> Result {
+ pub fn new(config: VadConfig, buffer_size_in_seconds: f32) -> Result {
+ let provider = config.provider.unwrap_or(get_default_provider());
+
+ let model = cstring_from_str(&config.model);
+ let provider = cstring_from_str(&provider);
+
+ let silero_vad = sherpa_rs_sys::SherpaOnnxSileroVadModelConfig {
+ model: model.as_ptr(),
+ min_silence_duration: config.min_silence_duration,
+ min_speech_duration: config.min_speech_duration,
+ threshold: config.threshold,
+ window_size: config.window_size,
+ max_speech_duration: config.max_speech_duration,
+ };
+ let debug = config.debug.into();
+ let vad_config = sherpa_rs_sys::SherpaOnnxVadModelConfig {
+ debug,
+ provider: provider.as_ptr(),
+ num_threads: config.num_threads.unwrap_or(1),
+ sample_rate: config.sample_rate as i32,
+ silero_vad,
+ };
+
unsafe {
let vad = sherpa_rs_sys::SherpaOnnxCreateVoiceActivityDetector(
- config.as_ptr(),
+ &vad_config,
buffer_size_in_seconds,
);
+
Ok(Self { vad })
}
}
diff --git a/crates/sherpa-rs/src/whisper.rs b/crates/sherpa-rs/src/whisper.rs
new file mode 100644
index 0000000..6d94ec7
--- /dev/null
+++ b/crates/sherpa-rs/src/whisper.rs
@@ -0,0 +1,150 @@
+use crate::{get_default_provider, utils::cstring_from_str};
+use eyre::{bail, Result};
+use std::mem;
+
+#[derive(Debug)]
+pub struct WhisperRecognizer {
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOfflineRecognizer,
+}
+
+pub type WhisperRecognizerResult = super::OfflineRecognizerResult;
+
+#[derive(Debug, Clone)]
+pub struct WhisperConfig {
+ pub decoder: String,
+ pub encoder: String,
+ pub tokens: String,
+ pub language: String,
+ pub bpe_vocab: Option,
+ pub tail_paddings: Option,
+
+ pub provider: Option,
+ pub num_threads: Option,
+ pub debug: bool,
+}
+
+impl Default for WhisperConfig {
+ fn default() -> Self {
+ Self {
+ decoder: String::new(),
+ encoder: String::new(),
+ tokens: String::new(),
+ language: String::from("en"),
+ bpe_vocab: None,
+ tail_paddings: None,
+ debug: false,
+ provider: None,
+ num_threads: Some(1),
+ }
+ }
+}
+
+impl WhisperRecognizer {
+ pub fn new(config: WhisperConfig) -> Result {
+ let debug = config.debug.into();
+ let provider = config.provider.unwrap_or(get_default_provider());
+
+ // Onnx
+ let provider_ptr = cstring_from_str(&provider);
+ let num_threads = config.num_threads.unwrap_or(2);
+
+ // Whisper
+ let bpe_vocab_ptr = cstring_from_str(&config.bpe_vocab.unwrap_or("".into()));
+ let tail_paddings = config.tail_paddings.unwrap_or(0);
+ let decoder_ptr = cstring_from_str(&config.decoder);
+ let encoder_ptr = cstring_from_str(&config.encoder);
+ let language_ptr = cstring_from_str(&config.language);
+ let task_ptr = cstring_from_str("transcribe");
+ let tokens_ptr = cstring_from_str(&config.tokens);
+ let decoding_method_ptr = cstring_from_str("greedy_search");
+
+ let whisper_config = sherpa_rs_sys::SherpaOnnxOfflineWhisperModelConfig {
+ decoder: decoder_ptr.as_ptr(),
+ encoder: encoder_ptr.as_ptr(),
+ language: language_ptr.as_ptr(),
+ task: task_ptr.as_ptr(),
+ tail_paddings,
+ };
+ let model_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineModelConfig {
+ whisper: whisper_config,
+ debug,
+ num_threads,
+ provider: provider_ptr.as_ptr(),
+ bpe_vocab: bpe_vocab_ptr.as_ptr(),
+ tokens: tokens_ptr.as_ptr(),
+
+ // nulls
+ model_type: std::ptr::null(),
+ modeling_unit: mem::zeroed::<_>(),
+ nemo_ctc: mem::zeroed::<_>(),
+ paraformer: mem::zeroed::<_>(),
+ tdnn: mem::zeroed::<_>(),
+ telespeech_ctc: mem::zeroed::<_>(),
+ transducer: mem::zeroed::<_>(),
+ fire_red_asr: mem::zeroed::<_>(),
+ sense_voice: mem::zeroed::<_>(),
+ moonshine: mem::zeroed::<_>(),
+ dolphin: mem::zeroed::<_>(),
+ }
+ };
+
+ let config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineRecognizerConfig {
+ decoding_method: decoding_method_ptr.as_ptr(), // greedy_search, modified_beam_search
+ feat_config: sherpa_rs_sys::SherpaOnnxFeatureConfig {
+ sample_rate: 16000,
+ feature_dim: 512,
+ },
+ model_config,
+
+ hotwords_file: mem::zeroed::<_>(),
+ hotwords_score: mem::zeroed::<_>(),
+ lm_config: mem::zeroed::<_>(),
+ max_active_paths: mem::zeroed::<_>(),
+ rule_fars: mem::zeroed::<_>(),
+ rule_fsts: mem::zeroed::<_>(),
+ blank_penalty: mem::zeroed::<_>(),
+ hr: mem::zeroed::<_>(),
+ }
+ };
+ let recognizer = unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflineRecognizer(&config) };
+
+ if recognizer.is_null() {
+ bail!("Failed to create recognizer");
+ }
+
+ Ok(Self { recognizer })
+ }
+
+ pub fn transcribe(&mut self, sample_rate: u32, samples: &[f32]) -> WhisperRecognizerResult {
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxCreateOfflineStream(self.recognizer);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len().try_into().unwrap(),
+ );
+ sherpa_rs_sys::SherpaOnnxDecodeOfflineStream(self.recognizer, stream);
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetOfflineStreamResult(stream);
+ let raw_result = result_ptr.read();
+ let result = WhisperRecognizerResult::new(&raw_result);
+ // Free
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizerResult(result_ptr);
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+ result
+ }
+ }
+}
+
+unsafe impl Send for WhisperRecognizer {}
+unsafe impl Sync for WhisperRecognizer {}
+
+impl Drop for WhisperRecognizer {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizer(self.recognizer);
+ }
+ }
+}
diff --git a/crates/sherpa-rs/src/zipformer.rs b/crates/sherpa-rs/src/zipformer.rs
new file mode 100644
index 0000000..13c7aa4
--- /dev/null
+++ b/crates/sherpa-rs/src/zipformer.rs
@@ -0,0 +1,120 @@
+use crate::{
+ get_default_provider,
+ utils::{cstr_to_string, cstring_from_str},
+};
+use eyre::{bail, Result};
+use std::mem;
+
+#[derive(Debug, Default)]
+pub struct ZipFormerConfig {
+ pub decoder: String,
+ pub encoder: String,
+ pub joiner: String,
+ pub tokens: String,
+
+ pub num_threads: Option,
+ pub provider: Option,
+ pub debug: bool,
+}
+
+pub struct ZipFormer {
+ recognizer: *const sherpa_rs_sys::SherpaOnnxOfflineRecognizer,
+}
+
+impl ZipFormer {
+ pub fn new(config: ZipFormerConfig) -> Result {
+ // Zipformer config
+ let decoder_ptr = cstring_from_str(&config.decoder);
+ let encoder_ptr = cstring_from_str(&config.encoder);
+ let joiner_ptr = cstring_from_str(&config.joiner);
+ let provider_ptr = cstring_from_str(&config.provider.unwrap_or(get_default_provider()));
+ let tokens_ptr = cstring_from_str(&config.tokens);
+ let decoding_method_ptr = cstring_from_str("greedy_search");
+
+ let transcuder_config = sherpa_rs_sys::SherpaOnnxOfflineTransducerModelConfig {
+ decoder: decoder_ptr.as_ptr(),
+ encoder: encoder_ptr.as_ptr(),
+ joiner: joiner_ptr.as_ptr(),
+ };
+ // Offline model config
+ let model_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineModelConfig {
+ num_threads: config.num_threads.unwrap_or(1),
+ debug: config.debug.into(),
+ provider: provider_ptr.as_ptr(),
+ transducer: transcuder_config,
+ tokens: tokens_ptr.as_ptr(),
+ // NULLs
+ bpe_vocab: mem::zeroed::<_>(),
+ model_type: mem::zeroed::<_>(),
+ modeling_unit: mem::zeroed::<_>(),
+ paraformer: mem::zeroed::<_>(),
+ tdnn: mem::zeroed::<_>(),
+ fire_red_asr: mem::zeroed::<_>(),
+ telespeech_ctc: mem::zeroed::<_>(),
+ nemo_ctc: mem::zeroed::<_>(),
+ whisper: mem::zeroed::<_>(),
+ sense_voice: mem::zeroed::<_>(),
+ moonshine: mem::zeroed::<_>(),
+ dolphin: mem::zeroed::<_>(),
+ }
+ };
+ // Recognizer config
+ let recognizer_config = unsafe {
+ sherpa_rs_sys::SherpaOnnxOfflineRecognizerConfig {
+ model_config,
+ decoding_method: decoding_method_ptr.as_ptr(),
+ // NULLs
+ blank_penalty: mem::zeroed::<_>(),
+ feat_config: mem::zeroed::<_>(),
+ hotwords_file: mem::zeroed::<_>(),
+ hotwords_score: mem::zeroed::<_>(),
+ lm_config: mem::zeroed::<_>(),
+ max_active_paths: mem::zeroed::<_>(),
+ rule_fars: mem::zeroed::<_>(),
+ rule_fsts: mem::zeroed::<_>(),
+ hr: mem::zeroed::<_>(),
+ }
+ };
+
+ let recognizer =
+ unsafe { sherpa_rs_sys::SherpaOnnxCreateOfflineRecognizer(&recognizer_config) };
+
+ if recognizer.is_null() {
+ bail!("Failed to create recognizer");
+ }
+ Ok(Self { recognizer })
+ }
+
+ pub fn decode(&mut self, sample_rate: u32, samples: Vec) -> String {
+ unsafe {
+ let stream = sherpa_rs_sys::SherpaOnnxCreateOfflineStream(self.recognizer);
+ sherpa_rs_sys::SherpaOnnxAcceptWaveformOffline(
+ stream,
+ sample_rate as i32,
+ samples.as_ptr(),
+ samples.len().try_into().unwrap(),
+ );
+ sherpa_rs_sys::SherpaOnnxDecodeOfflineStream(self.recognizer, stream);
+ let result_ptr = sherpa_rs_sys::SherpaOnnxGetOfflineStreamResult(stream);
+ let raw_result = result_ptr.read();
+ let text = cstr_to_string(raw_result.text as _);
+
+ // Free
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizerResult(result_ptr);
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineStream(stream);
+ text
+ }
+ }
+}
+
+unsafe impl Send for ZipFormer {}
+unsafe impl Sync for ZipFormer {}
+
+impl Drop for ZipFormer {
+ fn drop(&mut self) {
+ unsafe {
+ sherpa_rs_sys::SherpaOnnxDestroyOfflineRecognizer(self.recognizer);
+ }
+ }
+}
diff --git a/examples/audio_tag.rs b/examples/audio_tag.rs
new file mode 100644
index 0000000..1840c14
--- /dev/null
+++ b/examples/audio_tag.rs
@@ -0,0 +1,28 @@
+/*
+Audio tagging identifies specific audio events from audio file.
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/audio-tagging-models/sherpa-onnx-zipformer-audio-tagging-2024-04-09.tar.bz2
+tar xvf sherpa-onnx-zipformer-audio-tagging-2024-04-09.tar.bz2
+rm sherpa-onnx-zipformer-audio-tagging-2024-04-09.tar.bz2
+
+cargo run --example audio_tag
+*/
+
+fn main() {
+ let model = "./sherpa-onnx-zipformer-audio-tagging-2024-04-09/model.int8.onnx";
+ let labels_path = "./sherpa-onnx-zipformer-audio-tagging-2024-04-09/class_labels_indices.csv";
+ let wav_path = "./sherpa-onnx-zipformer-audio-tagging-2024-04-09/test_wavs/1.wav";
+ let top_k = 5;
+
+ let (samples, sample_rate) = sherpa_rs::read_audio_file(wav_path).unwrap();
+
+ let config = sherpa_rs::audio_tag::AudioTagConfig {
+ model: model.into(),
+ labels: labels_path.into(),
+ top_k,
+ ..Default::default()
+ };
+ let mut audio_tag = sherpa_rs::audio_tag::AudioTag::new(config).unwrap();
+ let events = audio_tag.compute(samples, sample_rate);
+ println!("✅ Events ({}): {}", events.len(), events.join(", "));
+}
diff --git a/examples/diarize.rs b/examples/diarize.rs
index ca5da3e..23a7d0b 100644
--- a/examples/diarize.rs
+++ b/examples/diarize.rs
@@ -1,161 +1,48 @@
/*
-wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/silero_vad.onnx
-wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/nemo_en_speakerverification_speakernet.onnx
-wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/motivation.wav -O motivation.wav
-cargo run --example diarize motivation.wav
-*/
-
-use eyre::{bail, Result};
-use sherpa_rs::{
- embedding_manager, speaker_id,
- vad::{Vad, VadConfig},
-};
-use std::io::Cursor;
+Diarize audio file with pyannote-audio for segmentation (start and stop marks) and 3dspeaker for speaker recognition.
-fn get_speaker_name(
- embedding_manager: &mut embedding_manager::EmbeddingManager,
- embedding: &mut [f32],
- speaker_counter: &mut i32,
- max_speakers: i32,
-) -> String {
- let mut name = String::from("unknown");
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
+tar xvf sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
+rm sherpa-onnx-pyannote-segmentation-3-0.tar.bz2
- if *speaker_counter == 0 {
- name = format!("speaker {}", speaker_counter);
- embedding_manager.add(name.clone(), embedding).unwrap();
- *speaker_counter += 1;
- } else if *speaker_counter <= max_speakers {
- if let Some(search_result) = embedding_manager.search(embedding, 0.5) {
- name = search_result;
- } else {
- name = format!("speaker {}", speaker_counter);
- embedding_manager.add(name.clone(), embedding).unwrap();
- *speaker_counter += 1;
- }
- } else {
- let matches = embedding_manager.get_best_matches(embedding, 0.2, *speaker_counter);
- if let Some(name_match) = matches.first().map(|m| m.name.clone()) {
- name = name_match;
- }
- }
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-segmentation-models/0-four-speakers-zh.wav
- name
-}
-
-fn process_speech_segment(
- vad: &mut Vad,
- sample_rate: i32,
- mut embedding_manager: &mut embedding_manager::EmbeddingManager,
- extractor: &mut speaker_id::EmbeddingExtractor,
- speaker_counter: &mut i32,
- max_speakers: i32,
-) -> Result<()> {
- while !vad.is_empty() {
- let segment = vad.front();
- let start_sec = (segment.start as f32) / sample_rate as f32;
- let duration_sec = (segment.samples.len() as f32) / sample_rate as f32;
+cargo run --example diarize ./sherpa-onnx-pyannote-segmentation-3-0/model.onnx ./3dspeaker_speech_eres2net_base_sv_zh-cn_3dspeaker_16k.onnx ./0-four-speakers-zh.wav
+*/
- // Compute the speaker embedding
- let mut embedding = extractor.compute_speaker_embedding(sample_rate, segment.samples)?;
+fn main() {
+ let args: Vec = std::env::args().collect();
+ let (segment_model_path, embedding_model_path, wav_path) = (
+ args.get(1)
+ .expect("Missing path argument for segmentation model"),
+ args.get(2)
+ .expect("Missing path argument for embedding model"),
+ args.get(3).expect("Missing path argument for wav file"),
+ );
- let name = get_speaker_name(
- &mut embedding_manager,
- &mut embedding,
- speaker_counter,
- max_speakers,
- );
+ let config = sherpa_rs::diarize::DiarizeConfig {
+ num_clusters: Some(5),
+ ..Default::default()
+ };
+
+ let progress_callback = |n_computed_chunks: i32, n_total_chunks: i32| -> i32 {
+ let progress = 100 * n_computed_chunks / n_total_chunks;
+ println!("🗣️ Diarizing... {}% 🎯", progress);
+ 0
+ };
+
+ let mut sd =
+ sherpa_rs::diarize::Diarize::new(segment_model_path, embedding_model_path, config).unwrap();
+ let (samples, _) = sherpa_rs::read_audio_file(wav_path).unwrap();
+
+ let segments = sd
+ .compute(samples, Some(Box::new(progress_callback)))
+ .unwrap();
+ for segment in segments {
println!(
- "({}) start={}s end={}s",
- name,
- start_sec,
- start_sec + duration_sec
+ "start = {} end = {} speaker = {}",
+ segment.start, segment.end, segment.speaker
);
- vad.pop();
- }
- Ok(())
-}
-
-fn main() -> Result<()> {
- let file_path = std::env::args().nth(1).expect("Missing file path argument");
- let audio_data = std::fs::read(file_path)?;
- let max_speakers = 2;
-
- let cursor = Cursor::new(audio_data);
- let mut reader = hound::WavReader::new(cursor)?;
- let sample_rate = reader.spec().sample_rate as i32;
-
- if sample_rate != 16000 {
- bail!("The sample rate must be 16000.");
}
-
- let mut samples: Vec = reader
- .samples::()
- .map(|s| s.unwrap() as f32 / i16::MAX as f32)
- .collect();
-
- // Pad with 3 seconds of slience so vad will able to detect stop
- for _ in 0..3 * sample_rate {
- samples.push(0.0);
- }
-
- let extractor_config = speaker_id::ExtractorConfig::new(
- "nemo_en_speakerverification_speakernet.onnx".into(),
- None,
- None,
- false,
- );
- let mut extractor = speaker_id::EmbeddingExtractor::new_from_config(extractor_config).unwrap();
- let mut embedding_manager =
- embedding_manager::EmbeddingManager::new(extractor.embedding_size.try_into().unwrap()); // Assuming dimension 512 for embeddings
-
- let mut speaker_counter = 1;
-
- let vad_model = "silero_vad.onnx".into();
- let window_size: usize = 512;
- let config = VadConfig::new(
- vad_model,
- 0.5,
- 0.5,
- 0.5,
- sample_rate,
- window_size.try_into().unwrap(),
- None,
- None,
- Some(false),
- );
-
- let mut vad = Vad::new_from_config(config, 60.0 * 10.0).unwrap();
- let mut index = 0;
- while index + window_size <= samples.len() {
- let window = &samples[index..index + window_size];
- vad.accept_waveform(window.to_vec()); // Convert slice to Vec
- if vad.is_speech() {
- while !vad.is_empty() {
- process_speech_segment(
- &mut vad,
- sample_rate,
- &mut embedding_manager,
- &mut extractor,
- &mut speaker_counter,
- max_speakers,
- )?;
- }
- }
-
- index += window_size;
- }
- vad.flush();
- // process reamaining
- while !vad.is_empty() {
- process_speech_segment(
- &mut vad,
- sample_rate,
- &mut embedding_manager,
- &mut extractor,
- &mut speaker_counter,
- max_speakers,
- )?;
- }
-
- Ok(())
}
diff --git a/examples/dolphin.rs b/examples/dolphin.rs
new file mode 100644
index 0000000..8b929d8
--- /dev/null
+++ b/examples/dolphin.rs
@@ -0,0 +1,33 @@
+/*
+Transcribe wav file using Dolphin ASR
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+tar xvf sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02.tar.bz2
+rm sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
+wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/motivation.wav -O motivation.wav
+cargo run --example dolphin motivation.wav
+*/
+
+use sherpa_rs::{
+ dolphin::{DolphinConfig, DolphinRecognizer},
+ read_audio_file,
+};
+
+fn main() {
+ let path = std::env::args().nth(1).expect("Missing file path argument");
+ let provider = std::env::args().nth(2).unwrap_or("cpu".into());
+ let (samples, sample_rate) = read_audio_file(&path).unwrap();
+ assert_eq!(sample_rate, 16000, "The sample rate must be 16000.");
+
+ let config = DolphinConfig {
+ model: "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/model.int8.onnx".into(),
+ tokens: "./sherpa-onnx-dolphin-base-ctc-multi-lang-int8-2025-04-02/tokens.txt".into(),
+ provider: Some(provider),
+ ..Default::default() // fill in any missing fields with defaults
+ };
+ let mut recognizer = DolphinRecognizer::new(config).unwrap();
+
+ let start_t = std::time::Instant::now();
+ let result = recognizer.transcribe(sample_rate, &samples);
+ println!("✅ Text: {}", result.text);
+ println!("⏱️ Time taken for transcription: {:?}", start_t.elapsed());
+}
diff --git a/examples/keyword_spot.rs b/examples/keyword_spot.rs
new file mode 100644
index 0000000..84b206e
--- /dev/null
+++ b/examples/keyword_spot.rs
@@ -0,0 +1,73 @@
+/*
+We assume you have pre-downloaded the model files for testing
+from https://k2-fsa.github.io/sherpa/onnx/kws/pretrained_models/index.html
+
+
+English:
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01.tar.bz2
+tar xvf sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01.tar.bz2
+rm sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01.tar.bz2
+
+cargo run --example keyword_spot \
+ "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01/test_wavs/1.wav" \
+ "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01/encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx" \
+ "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01/decoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx" \
+ "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01/joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx" \
+ "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01/tokens.txt" \
+ "sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01/test_wavs/test_keywords.txt"
+
+Chinese:
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models/sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
+tar xf sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
+rm sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01.tar.bz2
+
+cargo run --example keyword_spot \
+ sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/test_wavs/6.wav \
+ sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx \
+ sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/decoder-epoch-12-avg-2-chunk-16-left-64.onnx \
+ sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx \
+ sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/tokens.txt \
+ sherpa-onnx-kws-zipformer-wenetspeech-3.3M-2024-01-01-mobile/test_wavs/test_keywords.txt
+
+*/
+
+use std::env::args;
+
+fn main() {
+ let audio_path = args().nth(1).expect("Please specify the audio file path");
+ let zipformer_encoder = args()
+ .nth(2)
+ .expect("Please specify the zipformer encoder file");
+ let zipformer_decoder = args()
+ .nth(3)
+ .expect("Please specify the zipformer decoder file");
+ let zipformer_joiner = args()
+ .nth(4)
+ .expect("Please specify the zipformer joiner file");
+ let tokens = args().nth(5).expect("Please specify the tokens file");
+ let keywords = args().nth(6).expect("Please specify the keywords file");
+
+ let (samples, sample_rate) = sherpa_rs::read_audio_file(&audio_path).unwrap();
+
+ let config = sherpa_rs::keyword_spot::KeywordSpotConfig {
+ zipformer_encoder,
+ zipformer_decoder,
+ zipformer_joiner,
+ tokens,
+ keywords,
+ max_active_path: 4,
+ keywords_threshold: 0.1,
+ keywords_score: 3.0,
+ num_trailing_blanks: 1,
+ sample_rate: 16000,
+ feature_dim: 80,
+ ..Default::default()
+ };
+ let mut spotter = sherpa_rs::keyword_spot::KeywordSpot::new(config).unwrap();
+
+ let keyword = spotter
+ .extract_keyword(samples, sample_rate)
+ .unwrap()
+ .unwrap_or("?".into());
+ println!("Keyword: {}", keyword);
+}
diff --git a/examples/language_id.rs b/examples/language_id.rs
index 84a6be9..ffaadc9 100644
--- a/examples/language_id.rs
+++ b/examples/language_id.rs
@@ -1,4 +1,6 @@
/*
+Detect language spoken in audio file
+
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-whisper-tiny.tar.bz2
tar xvf sherpa-onnx-whisper-tiny.tar.bz2
rm sherpa-onnx-whisper-tiny.tar.bz2
@@ -6,33 +8,19 @@ wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/16hz_mon
cargo run --example language_id 16hz_mono_pcm_s16le.wav
*/
-use eyre::{bail, Result};
-use sherpa_rs::language_id;
-use std::io::Cursor;
-
-fn main() -> Result<()> {
+fn main() {
let file_path = std::env::args().nth(1).expect("Missing file path argument");
- let audio_data = std::fs::read(file_path)?;
-
- let cursor = Cursor::new(audio_data);
- let mut reader = hound::WavReader::new(cursor)?;
- let sample_rate = reader.spec().sample_rate as i32;
- if sample_rate != 16000 {
- bail!("The sample rate must be 16000.");
- }
+ let (samples, sample_rate) = sherpa_rs::read_audio_file(&file_path).unwrap();
+ assert_eq!(sample_rate, 16000, "The sample rate must be 16000.");
- let samples: Vec = reader
- .samples::()
- .map(|s| s.unwrap() as f32 / i16::MAX as f32)
- .collect();
+ let config = sherpa_rs::language_id::SpokenLanguageIdConfig {
+ encoder: "sherpa-onnx-whisper-tiny/tiny-encoder.onnx".into(),
+ decoder: "sherpa-onnx-whisper-tiny/tiny-decoder.onnx".into(),
+ ..Default::default()
+ };
+ let mut extractor = sherpa_rs::language_id::SpokenLanguageId::new(config);
- let encoder = "sherpa-onnx-whisper-tiny/tiny-encoder.onnx".into();
- let decoder = "sherpa-onnx-whisper-tiny/tiny-decoder.onnx".into();
- let mut extractor = language_id::SpokenLanguageId::new(encoder, decoder, None, None, None);
-
- let language = extractor.compute(samples, sample_rate)?;
+ let language = extractor.compute(samples, sample_rate).unwrap();
println!("Spoken language: {}", language);
-
- Ok(())
}
diff --git a/examples/moonshine.rs b/examples/moonshine.rs
new file mode 100644
index 0000000..19c05e7
--- /dev/null
+++ b/examples/moonshine.rs
@@ -0,0 +1,38 @@
+/*
+Transcribe wav file using Moonshine (English only)
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
+tar xvf sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
+rm sherpa-onnx-moonshine-tiny-en-int8.tar.bz2
+wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/motivation.wav -O motivation.wav
+cargo run --example moonshine motivation.wav
+*/
+
+use sherpa_rs::{
+ moonshine::{MoonshineConfig, MoonshineRecognizer},
+ read_audio_file,
+};
+
+fn main() {
+ let path = std::env::args().nth(1).expect("Missing file path argument");
+ let provider = std::env::args().nth(2).unwrap_or("cpu".into());
+ let (samples, sample_rate) = read_audio_file(&path).unwrap();
+ assert_eq!(sample_rate, 16000, "The sample rate must be 16000.");
+
+ let config = MoonshineConfig {
+ preprocessor: "./sherpa-onnx-moonshine-tiny-en-int8/preprocess.onnx".into(),
+ encoder: "./sherpa-onnx-moonshine-tiny-en-int8/encode.int8.onnx".into(),
+ uncached_decoder: "./sherpa-onnx-moonshine-tiny-en-int8/uncached_decode.int8.onnx".into(),
+ cached_decoder: "./sherpa-onnx-moonshine-tiny-en-int8/cached_decode.int8.onnx".into(),
+ tokens: "./sherpa-onnx-moonshine-tiny-en-int8/tokens.txt".into(),
+ provider: Some(provider),
+ num_threads: None,
+ ..Default::default() // fill in any missing fields with defaults
+ };
+ let mut recognizer = MoonshineRecognizer::new(config).unwrap();
+
+ let start_t = std::time::Instant::now();
+ let result = recognizer.transcribe(sample_rate, &samples);
+ println!("✅ Text: {}", result.text);
+ println!("⏱️ Time taken for transcription: {:?}", start_t.elapsed());
+}
diff --git a/examples/paraformer.rs b/examples/paraformer.rs
new file mode 100644
index 0000000..1317fa7
--- /dev/null
+++ b/examples/paraformer.rs
@@ -0,0 +1,35 @@
+/*
+Transcribe wav file using SenseVoice
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-paraformer-zh-2024-03-09.tar.bz2
+tar xvf sherpa-onnx-paraformer-zh-small-2024-03-09.tar.bz2
+wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/motivation.wav -O motivation.wav
+cargo run --example paraformer motivation.wav
+*/
+
+use sherpa_rs::{
+ paraformer::{ParaformerConfig, ParaformerRecognizer},
+ read_audio_file,
+};
+
+fn main() {
+ let path = std::env::args().nth(1).expect("Missing file path argument");
+ let provider = std::env::args().nth(2).unwrap_or("cpu".into());
+ let (samples, sample_rate) = read_audio_file(&path).unwrap();
+ assert_eq!(sample_rate, 16000, "The sample rate must be 16000.");
+
+ let config = ParaformerConfig {
+ model: "sherpa-onnx-paraformer-zh-2024-03-09/model.int8.onnx".into(),
+ tokens: "sherpa-onnx-paraformer-zh-2024-03-09/tokens.txt".into(),
+ provider: Some(provider),
+
+ ..Default::default()
+ };
+
+ let mut recognizer: ParaformerRecognizer = ParaformerRecognizer::new(config).unwrap();
+
+ let start_t = std::time::Instant::now();
+ let result = recognizer.transcribe(sample_rate, &samples);
+ println!("✅ Text: {}", result.text);
+ println!("⏱️ Time taken for transcription: {:?}", start_t.elapsed());
+}
diff --git a/examples/parakeet.rs b/examples/parakeet.rs
new file mode 100644
index 0000000..c2000d1
--- /dev/null
+++ b/examples/parakeet.rs
@@ -0,0 +1,44 @@
+/*
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8.tar.bz2
+tar xvf sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8.tar.bz2
+rm sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8.tar.bz2
+wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/motivation.wav -O motivation.wav
+cargo run --example parakeet motivation.wav
+*/
+
+use sherpa_rs::read_audio_file;
+use sherpa_rs::transducer::{TransducerConfig, TransducerRecognizer};
+use std::time::Instant;
+
+pub fn main() {
+ let path = std::env::args().nth(1).expect("Missing file path argument");
+ let (samples, sample_rate) = read_audio_file(&path).unwrap();
+
+ // Check if the sample rate is 16000
+ if sample_rate != 16000 {
+ panic!("The sample rate must be 16000.");
+ }
+
+ let config = TransducerConfig {
+ decoder: "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/decoder.int8.onnx".to_string(),
+ encoder: "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/encoder.int8.onnx".to_string(),
+ joiner: "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/joiner.int8.onnx".to_string(),
+ tokens: "./sherpa-onnx-nemo-parakeet-tdt-0.6b-v2-int8/tokens.txt".to_string(),
+ num_threads: 1,
+ sample_rate: 16_000,
+ feature_dim: 80,
+ debug: true,
+ model_type: "nemo_transducer".to_string(),
+ ..Default::default()
+ };
+
+ let mut recognizer = TransducerRecognizer::new(config).unwrap();
+
+ let start_t = Instant::now();
+ let result = recognizer.transcribe(sample_rate, &samples);
+ let lower_case = result.to_lowercase();
+ let trimmed_result = lower_case.trim();
+
+ println!("Time taken for decode: {:?}", start_t.elapsed());
+ println!("Transcribe result: {:?}", trimmed_result);
+}
diff --git a/examples/punctuate.rs b/examples/punctuate.rs
new file mode 100644
index 0000000..df598e4
--- /dev/null
+++ b/examples/punctuate.rs
@@ -0,0 +1,34 @@
+/*
+We assume you have pre-downloaded the model files for testing
+from https://github.com/k2-fsa/sherpa-onnx/releases/tag/punctuation-models
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/punctuation-models/sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+tar xvf sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+rm sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+
+cargo run --example punctuate ./sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12/model.onnx
+*/
+
+fn main() {
+ let args: Vec = std::env::args().collect();
+ let model = args.get(1).expect("Please specify model path");
+ let sentences = [
+ "这是一个测试你好吗How are you我很好thank you are you ok谢谢你",
+ "我们都是木头人不会说话不会动",
+ "The African blogosphere is rapidly expanding bringing more voices online in the form of commentaries opinions analyses rants and poetry"
+ ];
+
+ let config = sherpa_rs::punctuate::PunctuationConfig {
+ model: model.into(),
+ ..Default::default()
+ };
+ let mut punctuate = sherpa_rs::punctuate::Punctuation::new(config).unwrap();
+
+ println!("--------------------");
+ for sentence in sentences {
+ let punctuated = punctuate.add_punctuation(sentence);
+ println!("Input text: {}", sentence);
+ println!("Output text: {}", punctuated);
+ println!("--------------------");
+ }
+}
diff --git a/examples/sense_voice.rs b/examples/sense_voice.rs
new file mode 100644
index 0000000..13029b6
--- /dev/null
+++ b/examples/sense_voice.rs
@@ -0,0 +1,35 @@
+/*
+Transcribe wav file using SenseVoice
+
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+tar xvf sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17.tar.bz2
+wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/motivation.wav -O motivation.wav
+cargo run --example sense_voice motivation.wav
+*/
+
+use sherpa_rs::{
+ read_audio_file,
+ sense_voice::{SenseVoiceConfig, SenseVoiceRecognizer},
+};
+
+fn main() {
+ let path = std::env::args().nth(1).expect("Missing file path argument");
+ let provider = std::env::args().nth(2).unwrap_or("cpu".into());
+ let (samples, sample_rate) = read_audio_file(&path).unwrap();
+ assert_eq!(sample_rate, 16000, "The sample rate must be 16000.");
+
+ let config = SenseVoiceConfig {
+ model: "sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/model.int8.onnx".into(),
+ tokens: "sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/tokens.txt".into(),
+ provider: Some(provider),
+
+ ..Default::default()
+ };
+
+ let mut recognizer: SenseVoiceRecognizer = SenseVoiceRecognizer::new(config).unwrap();
+
+ let start_t = std::time::Instant::now();
+ let result = recognizer.transcribe(sample_rate, &samples);
+ println!("✅ Text: {}", result.text);
+ println!("⏱️ Time taken for transcription: {:?}", start_t.elapsed());
+}
diff --git a/examples/speaker_embedding.rs b/examples/speaker_embedding.rs
index 6e783b1..f54238a 100644
--- a/examples/speaker_embedding.rs
+++ b/examples/speaker_embedding.rs
@@ -1,54 +1,27 @@
/*
+Create voice embedding for voice in audio file
+
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/nemo_en_speakerverification_speakernet.onnx
wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/16hz_mono_pcm_s16le.wav -O 16hz_mono_pcm_s16le.wav
cargo run --example speaker_embedding 16hz_mono_pcm_s16le.wav
*/
-use eyre::{bail, Result};
-use sherpa_rs::speaker_id;
-use std::io::Cursor;
-use std::path::PathBuf;
-
-fn main() -> Result<()> {
+fn main() {
let file_path = std::env::args().nth(1).expect("Missing file path argument");
- let audio_data = std::fs::read(file_path)?;
-
- // Use Cursor to create a reader from the byte slice
- let cursor = Cursor::new(audio_data);
- let mut reader = hound::WavReader::new(cursor)?;
- let sample_rate = reader.spec().sample_rate as i32;
-
- // Check if the sample rate is 16000
- if sample_rate != 16000 {
- bail!("The sample rate must be 16000.");
- }
+ let (samples, sample_rate) = sherpa_rs::read_audio_file(&file_path).unwrap();
+ assert_eq!(sample_rate, 16000, "The sample rate must be 16000.");
- // Collect samples into a Vec
- let samples: Vec = reader
- .samples::()
- .map(|s| s.unwrap() as f32 / i16::MAX as f32)
- .collect();
-
- // Create the extractor configuration and extractor
- let mut model_path = PathBuf::from(std::env::current_dir()?);
- model_path.push("nemo_en_speakerverification_speakernet.onnx");
-
- println!("loading model from {}", model_path.display());
-
- // Create the extractor configuration and extractor
- let config = speaker_id::ExtractorConfig::new(
- model_path.into_os_string().into_string().unwrap(),
- None,
- None,
- false,
- );
- let mut extractor = speaker_id::EmbeddingExtractor::new_from_config(config).unwrap();
+ let config = sherpa_rs::speaker_id::ExtractorConfig {
+ model: "nemo_en_speakerverification_speakernet.onnx".into(),
+ ..Default::default()
+ };
+ let mut extractor = sherpa_rs::speaker_id::EmbeddingExtractor::new(config).unwrap();
// Compute the speaker embedding
- let embedding = extractor.compute_speaker_embedding(sample_rate, samples)?;
+ let embedding = extractor
+ .compute_speaker_embedding(samples, sample_rate)
+ .unwrap();
// Use the embedding as needed
println!("Speaker embedding: {:?}", embedding);
-
- Ok(())
}
diff --git a/examples/speaker_id.rs b/examples/speaker_id.rs
index 538f3c9..c5230a9 100644
--- a/examples/speaker_id.rs
+++ b/examples/speaker_id.rs
@@ -1,55 +1,32 @@
/*
+Recognize speakers in audio file
+
wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speaker-recongition-models/nemo_en_speakerverification_speakernet.onnx
wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/biden.wav -O biden.wav
wget https://github.com/thewh1teagle/sherpa-rs/releases/download/v0.1.0/obama.wav -O obama.wav
cargo run --example speaker_id
*/
-use eyre::{bail, Result};
use sherpa_rs::{embedding_manager, speaker_id};
use std::collections::HashMap;
-use std::path::PathBuf;
-
-fn read_audio_file(path: &str) -> Result<(i32, Vec)> {
- let mut reader = hound::WavReader::open(path)?;
- let sample_rate = reader.spec().sample_rate as i32;
-
- // Check if the sample rate is 16000
- if sample_rate != 16000 {
- bail!("The sample rate must be 16000.");
- }
-
- // Collect samples into a Vec
- let samples: Vec = reader
- .samples::()
- .map(|s| s.unwrap() as f32 / i16::MAX as f32)
- .collect();
- Ok((sample_rate, samples))
-}
-
-fn main() -> Result<()> {
+fn main() {
// Define paths to the audio files
- let audio_files = vec!["samples/obama.wav", "biden.wav"];
-
- // Create the extractor configuration and extractor
- let mut model_path = PathBuf::from(std::env::current_dir()?);
- model_path.push("nemo_en_speakerverification_speakernet.onnx");
+ let audio_files = vec!["obama.wav", "biden.wav"];
- println!("🎤 Loading model from {}", model_path.display());
-
- let config = speaker_id::ExtractorConfig::new(
- model_path.into_os_string().into_string().unwrap(),
- None,
- None,
- false,
- );
- let mut extractor = speaker_id::EmbeddingExtractor::new_from_config(config)?;
+ let config = speaker_id::ExtractorConfig {
+ model: "nemo_en_speakerverification_speakernet.onnx".into(),
+ ..Default::default()
+ };
+ let mut extractor = speaker_id::EmbeddingExtractor::new(config).unwrap();
// Read and process each audio file, compute embeddings
let mut embeddings = Vec::new();
for file in &audio_files {
- let (sample_rate, samples) = read_audio_file(file)?;
- let embedding = extractor.compute_speaker_embedding(sample_rate, samples)?;
+ let (samples, sample_rate) = sherpa_rs::read_audio_file(file).unwrap();
+ assert_eq!(sample_rate, 16000, "The sample rate must be 16000.");
+ let embedding = extractor
+ .compute_speaker_embedding(samples, sample_rate)
+ .unwrap();
embeddings.push((file.to_string(), embedding));
}
@@ -71,10 +48,12 @@ fn main() -> Result<()> {
.push(file.clone());
} else {
// Register a new speaker and add the embedding
- embedding_manager.add(
- format!("speaker {}", speaker_counter),
- &mut embedding.clone(),
- )?;
+ embedding_manager
+ .add(
+ format!("speaker {}", speaker_counter),
+ &mut embedding.clone(),
+ )
+ .unwrap();
speaker_map
.entry(format!("speaker {}", speaker_counter))
.or_default()
@@ -89,6 +68,4 @@ fn main() -> Result<()> {
for (speaker_id, files) in &speaker_map {
println!("Speaker {}: {:?}", speaker_id, files);
}
-
- Ok(())
}
diff --git a/examples/tauri-app/.gitignore b/examples/tauri-app/.gitignore
new file mode 100644
index 0000000..18b804d
--- /dev/null
+++ b/examples/tauri-app/.gitignore
@@ -0,0 +1,28 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?
+schemas/
+autogenerated/
+src-tauri/icons/*
+!src-tauri/icons/icon.png
\ No newline at end of file
diff --git a/examples/tauri-app/.vscode/extensions.json b/examples/tauri-app/.vscode/extensions.json
new file mode 100644
index 0000000..2993336
--- /dev/null
+++ b/examples/tauri-app/.vscode/extensions.json
@@ -0,0 +1,3 @@
+{
+ "recommendations": ["tauri-apps.tauri-vscode", "rust-lang.rust-analyzer"],
+}
diff --git a/examples/tauri-app/README.md b/examples/tauri-app/README.md
new file mode 100644
index 0000000..9ff5901
--- /dev/null
+++ b/examples/tauri-app/README.md
@@ -0,0 +1,50 @@
+# Tauri + sherpa-rs
+
+
+
+## Prepare model
+
+```console
+cd src-tauri
+wget https://github.com/k2-fsa/sherpa-onnx/releases/download/punctuation-models/sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+tar xvf sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+mv sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12/model.onnx model.onnx
+rm -rf rm sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12
+rm sherpa-onnx-punct-ct-transformer-zh-en-vocab272727-2024-04-12.tar.bz2
+adb push model.onnx /data/local/tmp/model.onnx # currently hardcoded in the APK
+```
+
+## Build
+
+See https://v2.tauri.app/start/prerequisites
+
+See [Building](../../BUILDING.md)
+
+```console
+# Setup environment variables
+export JAVA_HOME="/Applications/Android Studio.app/Contents/jbr/Contents/Home"
+export ANDROID_HOME="$HOME/Library/Android/sdk"
+export NDK_HOME="$HOME/Library/Android/sdk/ndk/27.0.12077973" # ls $HOME/Library/Android/sdk/ndk
+
+# Setup UI
+bun install
+bunx tauri icon src-tauri/icons/icon.png
+
+cd src-tauri
+export CARGO_TARGET_DIR="$(pwd)/target"
+cargo ndk -t arm64-v8a build
+mkdir -p gen/android/app/src/main/jniLibs/arm64-v8a
+ln -s $(pwd)/target/aarch64-linux-android/debug/libonnxruntime.so $(pwd)/gen/android/app/src/main/jniLibs/arm64-v8a/libonnxruntime.so
+ln -s $(pwd)/target/aarch64-linux-android/debug/libsherpa-onnx-c-api.so $(pwd)/gen/android/app/src/main/jniLibs/arm64-v8a/libsherpa-onnx-c-api.so
+bun run tauri android dev
+```
+
+## Debug
+
+```console
+adb logcat -c && adb logcat | grep -i -E "tauri|rust|sherpa"
+```
+
+## Debug webview
+
+Open `chrome://inspect` in the chrome browser and click `inspect`
diff --git a/examples/tauri-app/bun.lockb b/examples/tauri-app/bun.lockb
new file mode 100644
index 0000000..4e3202e
Binary files /dev/null and b/examples/tauri-app/bun.lockb differ
diff --git a/examples/tauri-app/index.html b/examples/tauri-app/index.html
new file mode 100644
index 0000000..ba1813d
--- /dev/null
+++ b/examples/tauri-app/index.html
@@ -0,0 +1,66 @@
+
+
+
+
+
+
+ sherpa-rs with tauri
+
+
+
+
+
+
+ sherpa-rs
+
+
+
+
+
+
diff --git a/examples/tauri-app/package.json b/examples/tauri-app/package.json
new file mode 100644
index 0000000..76102a9
--- /dev/null
+++ b/examples/tauri-app/package.json
@@ -0,0 +1,21 @@
+{
+ "name": "tauri-app",
+ "private": true,
+ "version": "0.1.0",
+ "type": "module",
+ "scripts": {
+ "dev": "vite",
+ "build": "tsc && vite build",
+ "preview": "vite preview",
+ "tauri": "tauri"
+ },
+ "dependencies": {
+ "@tauri-apps/api": "^2",
+ "@tauri-apps/plugin-opener": "^2"
+ },
+ "devDependencies": {
+ "@tauri-apps/cli": "^2",
+ "vite": "^6.0.3",
+ "typescript": "~5.6.2"
+ }
+}
diff --git a/examples/tauri-app/src-tauri/.gitignore b/examples/tauri-app/src-tauri/.gitignore
new file mode 100644
index 0000000..b21bd68
--- /dev/null
+++ b/examples/tauri-app/src-tauri/.gitignore
@@ -0,0 +1,7 @@
+# Generated by Cargo
+# will have compiled files and executables
+/target/
+
+# Generated by Tauri
+# will have schema files for capabilities auto-completion
+/gen/schemas
diff --git a/examples/tauri-app/src-tauri/Cargo.lock b/examples/tauri-app/src-tauri/Cargo.lock
new file mode 100644
index 0000000..1e0c2f2
--- /dev/null
+++ b/examples/tauri-app/src-tauri/Cargo.lock
@@ -0,0 +1,5398 @@
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+# It is not intended for manual editing.
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+checksum = "7b8e3d6ae3342792a6cc2340e4394334c7402f3d793b390d2c5494a4032b3030"
+dependencies = [
+ "async-broadcast",
+ "async-executor",
+ "async-fs",
+ "async-io",
+ "async-lock",
+ "async-process",
+ "async-recursion",
+ "async-task",
+ "async-trait",
+ "blocking",
+ "derivative",
+ "enumflags2",
+ "event-listener",
+ "futures-core",
+ "futures-sink",
+ "futures-util",
+ "hex",
+ "nix",
+ "ordered-stream",
+ "rand 0.8.5",
+ "serde",
+ "serde_repr",
+ "sha1",
+ "static_assertions",
+ "tracing",
+ "uds_windows",
+ "windows-sys 0.52.0",
+ "xdg-home",
+ "zbus_macros",
+ "zbus_names",
+ "zvariant",
+]
+
+[[package]]
+name = "zbus_macros"
+version = "4.0.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "b7a3e850ff1e7217a3b7a07eba90d37fe9bb9e89a310f718afcde5885ca9b6d7"
+dependencies = [
+ "proc-macro-crate 1.3.1",
+ "proc-macro2",
+ "quote",
+ "regex",
+ "syn 1.0.109",
+ "zvariant_utils",
+]
+
+[[package]]
+name = "zbus_names"
+version = "3.0.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4b9b1fef7d021261cc16cba64c351d291b715febe0fa10dc3a443ac5a5022e6c"
+dependencies = [
+ "serde",
+ "static_assertions",
+ "zvariant",
+]
+
+[[package]]
+name = "zerocopy"
+version = "0.7.35"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1b9b4fd18abc82b8136838da5d50bae7bdea537c574d8dc1a34ed098d6c166f0"
+dependencies = [
+ "byteorder",
+ "zerocopy-derive",
+]
+
+[[package]]
+name = "zerocopy-derive"
+version = "0.7.35"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "fa4f8080344d4671fb4e831a13ad1e68092748387dfc4f55e356242fae12ce3e"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn 2.0.91",
+]
+
+[[package]]
+name = "zerofrom"
+version = "0.1.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "cff3ee08c995dee1859d998dea82f7374f2826091dd9cd47def953cae446cd2e"
+dependencies = [
+ "zerofrom-derive",
+]
+
+[[package]]
+name = "zerofrom-derive"
+version = "0.1.5"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "595eed982f7d355beb85837f651fa22e90b3c044842dc7f2c2842c086f295808"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn 2.0.91",
+ "synstructure",
+]
+
+[[package]]
+name = "zeroize"
+version = "1.8.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ced3678a2879b30306d323f4542626697a464a97c0a07c9aebf7ebca65cd4dde"
+
+[[package]]
+name = "zerovec"
+version = "0.10.4"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "aa2b893d79df23bfb12d5461018d408ea19dfafe76c2c7ef6d4eba614f8ff079"
+dependencies = [
+ "yoke",
+ "zerofrom",
+ "zerovec-derive",
+]
+
+[[package]]
+name = "zerovec-derive"
+version = "0.10.3"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6eafa6dfb17584ea3e2bd6e76e0cc15ad7af12b09abdd1ca55961bed9b1063c6"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn 2.0.91",
+]
+
+[[package]]
+name = "zvariant"
+version = "4.0.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "4e09e8be97d44eeab994d752f341e67b3b0d80512a8b315a0671d47232ef1b65"
+dependencies = [
+ "endi",
+ "enumflags2",
+ "serde",
+ "static_assertions",
+ "zvariant_derive",
+]
+
+[[package]]
+name = "zvariant_derive"
+version = "4.0.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "72a5857e2856435331636a9fbb415b09243df4521a267c5bedcd5289b4d5799e"
+dependencies = [
+ "proc-macro-crate 1.3.1",
+ "proc-macro2",
+ "quote",
+ "syn 1.0.109",
+ "zvariant_utils",
+]
+
+[[package]]
+name = "zvariant_utils"
+version = "1.1.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "00bedb16a193cc12451873fee2a1bc6550225acece0e36f333e68326c73c8172"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn 1.0.109",
+]
diff --git a/examples/tauri-app/src-tauri/Cargo.toml b/examples/tauri-app/src-tauri/Cargo.toml
new file mode 100644
index 0000000..fb2f440
--- /dev/null
+++ b/examples/tauri-app/src-tauri/Cargo.toml
@@ -0,0 +1,26 @@
+[package]
+name = "tauri-app"
+version = "0.1.0"
+description = "sherpa-rs example tauri app"
+authors = ["thewh1teagle"]
+edition = "2021"
+
+# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html
+
+[lib]
+# The `_lib` suffix may seem redundant but it is necessary
+# to make the lib name unique and wouldn't conflict with the bin name.
+# This seems to be only an issue on Windows, see https://github.com/rust-lang/cargo/issues/8519
+name = "tauri_app_lib"
+crate-type = ["staticlib", "cdylib", "rlib"]
+
+[build-dependencies]
+tauri-build = { version = "2", features = [] }
+
+[dependencies]
+tauri = { version = "2", features = [] }
+tauri-plugin-opener = "2"
+serde = { version = "1", features = ["derive"] }
+serde_json = "1"
+sherpa-rs = { path = "../../../crates/sherpa-rs" }
+once_cell = "1.20.2"
diff --git a/examples/tauri-app/src-tauri/build.rs b/examples/tauri-app/src-tauri/build.rs
new file mode 100644
index 0000000..d860e1e
--- /dev/null
+++ b/examples/tauri-app/src-tauri/build.rs
@@ -0,0 +1,3 @@
+fn main() {
+ tauri_build::build()
+}
diff --git a/examples/tauri-app/src-tauri/capabilities/default.json b/examples/tauri-app/src-tauri/capabilities/default.json
new file mode 100644
index 0000000..4cdbf49
--- /dev/null
+++ b/examples/tauri-app/src-tauri/capabilities/default.json
@@ -0,0 +1,10 @@
+{
+ "$schema": "../gen/schemas/desktop-schema.json",
+ "identifier": "default",
+ "description": "Capability for the main window",
+ "windows": ["main"],
+ "permissions": [
+ "core:default",
+ "opener:default"
+ ]
+}
diff --git a/examples/tauri-app/src-tauri/gen/android/.editorconfig b/examples/tauri-app/src-tauri/gen/android/.editorconfig
new file mode 100644
index 0000000..ebe51d3
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/.editorconfig
@@ -0,0 +1,12 @@
+# EditorConfig is awesome: https://EditorConfig.org
+
+# top-most EditorConfig file
+root = true
+
+[*]
+indent_style = space
+indent_size = 2
+end_of_line = lf
+charset = utf-8
+trim_trailing_whitespace = false
+insert_final_newline = false
\ No newline at end of file
diff --git a/examples/tauri-app/src-tauri/gen/android/.gitignore b/examples/tauri-app/src-tauri/gen/android/.gitignore
new file mode 100644
index 0000000..b248203
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/.gitignore
@@ -0,0 +1,19 @@
+*.iml
+.gradle
+/local.properties
+/.idea/caches
+/.idea/libraries
+/.idea/modules.xml
+/.idea/workspace.xml
+/.idea/navEditor.xml
+/.idea/assetWizardSettings.xml
+.DS_Store
+build
+/captures
+.externalNativeBuild
+.cxx
+local.properties
+key.properties
+
+/.tauri
+/tauri.settings.gradle
\ No newline at end of file
diff --git a/examples/tauri-app/src-tauri/gen/android/app/.gitignore b/examples/tauri-app/src-tauri/gen/android/app/.gitignore
new file mode 100644
index 0000000..9c7c735
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/app/.gitignore
@@ -0,0 +1,6 @@
+/src/main/java/com/tauri_app/app/generated
+/src/main/jniLibs/**/*.so
+/src/main/assets/tauri.conf.json
+/tauri.build.gradle.kts
+/proguard-tauri.pro
+/tauri.properties
\ No newline at end of file
diff --git a/examples/tauri-app/src-tauri/gen/android/app/build.gradle.kts b/examples/tauri-app/src-tauri/gen/android/app/build.gradle.kts
new file mode 100644
index 0000000..df592fd
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/app/build.gradle.kts
@@ -0,0 +1,70 @@
+import java.util.Properties
+
+plugins {
+ id("com.android.application")
+ id("org.jetbrains.kotlin.android")
+ id("rust")
+}
+
+val tauriProperties = Properties().apply {
+ val propFile = file("tauri.properties")
+ if (propFile.exists()) {
+ propFile.inputStream().use { load(it) }
+ }
+}
+
+android {
+ compileSdk = 34
+ namespace = "com.tauri_app.app"
+ defaultConfig {
+ manifestPlaceholders["usesCleartextTraffic"] = "false"
+ applicationId = "com.tauri_app.app"
+ minSdk = 24
+ targetSdk = 34
+ versionCode = tauriProperties.getProperty("tauri.android.versionCode", "1").toInt()
+ versionName = tauriProperties.getProperty("tauri.android.versionName", "1.0")
+ }
+ buildTypes {
+ getByName("debug") {
+ manifestPlaceholders["usesCleartextTraffic"] = "true"
+ isDebuggable = true
+ isJniDebuggable = true
+ isMinifyEnabled = false
+ packaging {
+ jniLibs.keepDebugSymbols.add("*/arm64-v8a/libtauri*.so")
+ jniLibs.keepDebugSymbols.add("*/armeabi-v7a/*.so")
+ jniLibs.keepDebugSymbols.add("*/x86/*.so")
+ jniLibs.keepDebugSymbols.add("*/x86_64/*.so")
+ }
+ }
+ getByName("release") {
+ isMinifyEnabled = true
+ proguardFiles(
+ *fileTree(".") { include("**/*.pro") }
+ .plus(getDefaultProguardFile("proguard-android-optimize.txt"))
+ .toList().toTypedArray()
+ )
+ }
+ }
+ kotlinOptions {
+ jvmTarget = "1.8"
+ }
+ buildFeatures {
+ buildConfig = true
+ }
+}
+
+rust {
+ rootDirRel = "../../../"
+}
+
+dependencies {
+ implementation("androidx.webkit:webkit:1.6.1")
+ implementation("androidx.appcompat:appcompat:1.6.1")
+ implementation("com.google.android.material:material:1.8.0")
+ testImplementation("junit:junit:4.13.2")
+ androidTestImplementation("androidx.test.ext:junit:1.1.4")
+ androidTestImplementation("androidx.test.espresso:espresso-core:3.5.0")
+}
+
+apply(from = "tauri.build.gradle.kts")
\ No newline at end of file
diff --git a/examples/tauri-app/src-tauri/gen/android/app/proguard-rules.pro b/examples/tauri-app/src-tauri/gen/android/app/proguard-rules.pro
new file mode 100644
index 0000000..481bb43
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/app/proguard-rules.pro
@@ -0,0 +1,21 @@
+# Add project specific ProGuard rules here.
+# You can control the set of applied configuration files using the
+# proguardFiles setting in build.gradle.
+#
+# For more details, see
+# http://developer.android.com/guide/developing/tools/proguard.html
+
+# If your project uses WebView with JS, uncomment the following
+# and specify the fully qualified class name to the JavaScript interface
+# class:
+#-keepclassmembers class fqcn.of.javascript.interface.for.webview {
+# public *;
+#}
+
+# Uncomment this to preserve the line number information for
+# debugging stack traces.
+#-keepattributes SourceFile,LineNumberTable
+
+# If you keep the line number information, uncomment this to
+# hide the original source file name.
+#-renamesourcefileattribute SourceFile
\ No newline at end of file
diff --git a/examples/tauri-app/src-tauri/gen/android/app/src/main/AndroidManifest.xml b/examples/tauri-app/src-tauri/gen/android/app/src/main/AndroidManifest.xml
new file mode 100644
index 0000000..e2020b8
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/app/src/main/AndroidManifest.xml
@@ -0,0 +1,37 @@
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
diff --git a/examples/tauri-app/src-tauri/gen/android/app/src/main/java/com/tauri_app/app/MainActivity.kt b/examples/tauri-app/src-tauri/gen/android/app/src/main/java/com/tauri_app/app/MainActivity.kt
new file mode 100644
index 0000000..176a25f
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/app/src/main/java/com/tauri_app/app/MainActivity.kt
@@ -0,0 +1,3 @@
+package com.tauri_app.app
+
+class MainActivity : TauriActivity()
\ No newline at end of file
diff --git a/examples/tauri-app/src-tauri/gen/android/app/src/main/res/drawable-v24/ic_launcher_foreground.xml b/examples/tauri-app/src-tauri/gen/android/app/src/main/res/drawable-v24/ic_launcher_foreground.xml
new file mode 100644
index 0000000..2b068d1
--- /dev/null
+++ b/examples/tauri-app/src-tauri/gen/android/app/src/main/res/drawable-v24/ic_launcher_foreground.xml
@@ -0,0 +1,30 @@
+
+
+
+
+