#154 · Primary category： Speech & Audio
speechpy
:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/
Project last updated：12/15/24
GitHub Stars
883
Forks
105
Contributors
6
License
Apache-2.0
Why we included this project
SpeechPy is a small Python library that computes the acoustic features you feed into speech-recognition and speaker-verification models. Its functions cover MFCCs, mel-filterbank energies, and log filterbank energies, and expose the usual knobs people actually tune: frame length, frame stride, mel filter count, FFT size, and number of cepstral coefficients. That makes it easy to drop into experiments without adopting a larger framework. It has been around since 2017, is pip-installable, and the documentation includes usage examples, so it also serves as a handy reference for checking how a front-end ought to behave.
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