Speaker identification powered by pyannote and resemblyzer
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Updated
Mar 16, 2026 - Python
Speaker identification powered by pyannote and resemblyzer
🎙️ Speaker recognition service for Home Assistant using voice embeddings - train on voice samples and identify speakers.
Transcript a big audio file with speaker diarization using NVidia parakeet v2
LOCKERIT is an offline, cross‑platform secure vault: dynamic key rotation, dual-factor (password + voice biometrics), device binding, phrase-based recovery, OTP‑guarded re-enrollment, and container encryption (v2 dual KEK wrap) using AES‑256‑GCM and XChaCha20‑Poly1305 with Argon2id.
AI voice proctoring system using Python and Resemblyzer for speaker verification.
A cost-effective local speech-to-text solution for small offices. Using Silero VAD to filter silences and OpenAI Whisper for accurate transcription, this project eliminates recurring cloud fees while keeping meeting notes clear, and comprehensive.
A smart attendance system that detects proxy attendance using voice recognition and logs results with real-time dashboard monitoring.
Audio Analysis Tool - Real-time speech recognition, transcription and quality analysis with Vosk and SNR evaluation
Tag speakers in audio and transcripts so you know who said what, automatically
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