Simplified python Audio Features Extraction
Project description
spafe: Simplified Python Audio-Features Extraction
spafe aims to simplify features extractions from mono audio files. The library can extract of the following features: BFCC, LFCC, LPC, LPCC, MFCC, IMFCC, MSRCC, NGCC, PNCC, PSRCC, PLP, RPLP, Frequency-stats etc. It also provides various filterbank modules (Mel, Bark and Gammatone filterbanks) and other spectral statistics.
Installation
Dependencies
spafe requires:
- Python (>= 3.5)
- NumPy (>= 1.17.2)
- SciPy (>= 1.3.1)
User installation
not available at the moment
If you already have a working installation of numpy and scipy, you can simply install spafe using pip:
pip install -U spafe
or conda:
conda install spafe
How to use
Various examples on how to use spafe filter banks or feature extraction techniques are available under examples.
Contributing
Contributions are welcome and encouraged. To learn more about how to contribute to spafe please refer to the Contributing guidelines
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