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