{"library":"python-speech-features","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"0.6","tags":["speech processing","feature extraction","MFCC","audio","ASR"],"install":[{"cmd":"pip install python-speech-features","imports":["from python_speech_features import mfcc","from python_speech_features import fbank","from python_speech_features import logfbank"]}],"homepage":null,"github":"https://github.com/jameslyons/python_speech_features","docs":null,"changelog":null,"pypi":"https://pypi.org/project/python-speech-features/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":100,"avg_install_s":2.4,"avg_import_s":null,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/python-speech-features/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}