This repository contains the notebooks (code+tutorials) and toy data (for practice problems) that constitute an e-book that I wrote:
Cychosz, M. (2024). Digital Signal Processing for Speech, Language, and Hearing Scientists.
Topics covered: What is DSP?, Reading an audio file into a computer and playing it back, sampling rate, quantization, clipping, mono vs. stereo
Topics covered: Amplitude measurement, conversion, fades, modulation, sound localization, amplitude manipulation
Topics covered: Synthesizing simple, complex, and aperiodic signals
Topics covered: Defining the discrete Fourier transform, plotting, inverse discrete Fourier transform, harmonics, leakage, FFT, sampling & FFT
Topics covered: Finite impulse response filters, Moving average filters, convolution, low-pass filters, filter order, windowing, band-pass filters, high-pass filters, pre-emphasis, scaling gain
Bonus chapter that is actually covered in this paper:
Cychosz, M., Winn, M., & Goupell, M. (to appear). How to vocode: Using vocoders for cochlear implant research. Journal of the Acoustical Society of America https://osf.io/preprints/psyarxiv/yrqnu
and the affiliated Github repository: https://github.com/ListenLab/Vocoder
audio/long_files.zip- unzip this directory to access the audio files used in chapter 1audio/file.zip- unzip this directory to access the audio files used in chapters 2, 4, & 5
If you use any of the materials, please cite this repository:
Cychosz, M. (2024). Digital Signal Processing for Speech, Language, and Hearing Scientists. Github repository. https://github.com/megseekosh/dsp_tutorials
I'm a trained linguist (not an engineer!). If you find an error, let me know so I can make this resource better! I don't really get any "credit" for this e-book since it's not peer-reviewed-that's not why I wrote it. I just think DSP is super important for students in my field(s), and I hope that my unique path to engineering actually makes me better at explaining some of these concepts. Happy digital signal processing! Enjoy!