spafe
A Python library for extracting a wide range of audio spectral features from mono audio files using efficient algorithms.
What is spafe?
Spafe is a Python library for simplified audio features extraction from mono audio files. It provides a wide array of algorithms for computing filter banks, spectrograms, and cepstral features like MFCCs, BFCCs, and GFCCs. The library addresses the need for a comprehensive and efficient toolset for audio signal processing in research and development.
Researchers, data scientists, and developers working on audio signal processing, speech recognition, music information retrieval, or machine learning projects that require extensive audio feature extraction.
Developers choose Spafe for its broad coverage of spectral feature extraction algorithms beyond standard MFCCs, including specialized coefficients like PNCCs and PSRCCs. Its efficient DFT-based implementation offers performance advantages over some STFT-based alternatives while maintaining a simplified API.
Overview
:sound: spafe: Simplified Python Audio Features Extraction
Use Cases
Best For
- Extracting Mel Frequency Cepstral Coefficients (MFCCs) for speech recognition models
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