Python Speech Features

python-speech-features is a Python library designed for extracting common speech features used in Automatic Speech Recognition (ASR). It provides functionalities to compute Mel-Frequency Cepstral Coefficients (MFCCs), filterbank energies, log filterbank energies, and spectral subband centroids. The current stable version on PyPI is 0.6, last released in 2017, with a slightly newer v0.6.1 tag on its GitHub repository from 2020. The project maintains a slow release cadence, but its core functionalities remain widely used for fundamental speech feature extraction.