{"categories":[{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/3"}],"enrichment":{"capability":"Extracts speech features from audio signals for automatic speech recognition, including MFCCs, filterbank energies, and spectral subband centroids.","skillfed_tags":["audio-processing","legacy-unmaintained"],"use_cases":["Extract MFCCs from audio files for training automatic speech recognition models.","Compute filterbank energies as input features for acoustic analysis or speaker verification systems.","Preprocess raw audio signals into standardized feature representations for machine learning pipelines.","Generate spectral subband centroids for audio classification or speech quality assessment tasks."],"what_it_does":"python_speech_features is a pure-Python library for extracting acoustic features from raw audio signals, primarily for automatic speech recognition (ASR) tasks. It computes Mel Frequency Cepstral Coefficients (MFCCs), filterbank energies, log filterbank energies, and spectral subband centroids\u2014standard representations used in speech processing pipelines. The library accepts audio as a numeric array and returns feature matrices suitable for downstream machine learning or acoustic analysis.\n\nThe package provides configurable parameters for window length, step size, FFT size, frequency bands, and other signal-processing details, with sensible defaults for 16 kHz audio. However, the project has been abandoned since 2017 with no active maintenance, making it a legacy choice. If you need speech feature extraction and cannot find an actively maintained alternative, this library remains functional for basic MFCC and filterbank tasks, but you should verify compatibility with your Python version and consider whether a maintained fork or newer tool better suits your needs.","worth_installing":"No, unless you have a specific legacy requirement or cannot find an actively maintained alternative. The package is abandoned (last release 2017-08-16, 3285 days ago), has high install friction (source-only distribution), and lacks specified Python version support. For new projects, seek a maintained speech-processing library; for legacy systems already using this package, it remains functional but unsupported."},"id":"python-speech-features","links":{"html":"https://skillfed.io/packages/python-speech-features","md":"https://skillfed.io/packages/python-speech-features.md","pypi":"https://pypi.org/project/python-speech-features/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2017-08-16","license_spdx":null,"license_treatment":"permissive","name":"python_speech_features","python_support":"unspecified","summary":"Python Speech Feature extraction"},"popularity":{"monthly_downloads":142042,"position":11226,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.6"}