jameslyons/python_speech_features

Health v2 · maintenance only

Adoption not part of the score

2423 stars · 607 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library for extracting common speech features used in automatic speech recognition, including MFCCs, filterbank energies, log filterbank energies, and spectral subband centroids. It provides simple NumPy-based functions with configurable parameters for windowing, filtering, and preemphasis.

Use cases

• extract mfcc features from audio
• compute filterbank energies for speech recognition
• feature extraction for asr models
• convert wav audio to mfcc vectors
• preprocess speech data for machine learning

When to choose

• you need standard MFCC or filterbank features in Python with minimal setup
• you want a lightweight, well-documented NumPy-based feature extractor
• you're prototyping speech recognition or audio classification pipelines

When to avoid

• you need GPU-accelerated or streaming feature extraction
• you need actively maintained software with recent updates
• you need end-to-end speech recognition rather than just feature extraction

Facets

library · maturity maintenance

audio-processing speech-recognition machine-learning speech-processing machine-learning python cross-platform mfcc filterbank-energies asr-features signal-processing numpy audio

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