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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.
spafe requires:
- Python (>= 3.5)
- NumPy (>= 1.17.2)
- SciPy (>= 1.3.1)
If you already have a working installation of numpy and scipy, you can simply install spafe using pip:
pip install -U spafe
or conda (not available at the moment):
conda install spafe
Various examples on how to use spafe filter banks or feature extraction techniques are available under examples.
Contributions are welcome and encouraged. To learn more about how to contribute to spafe please refer to the Contributing guidelines