Shennong

A Python toolbox for speech features extraction

Shennong provides a wide range of speech features extraction algorithms as well as post-processing pipelines. It relies on Kaldi for most of the algorithms while providing simple to use Python API and command line interface.

• See the complete documentation at https://docs.cognitive-ml.fr/shennong.

• See the detailed installation procedure here. On Linux, simply have a:

    conda install -c coml -c conda-forge shennong
  

• Implementented models include filterbanks, MFCC, PLP, bottleneck, pitch, delta, CMVN, VAD, VTLN. See the complete list of available features here.

• To reference Shennong in your own work, please cite the following Behavior Research Methods paper which is also available on arXiv:

@article{bernard2023shennong,
  title = {Shennong: {{A Python}} Toolbox for Audio Speech Features Extraction},
  author = {Bernard, Mathieu and Poli, Maxime and Karadayi, Julien and Dupoux, Emmanuel},
  year = {2023},
  journal = {Behavior Research Methods},
  url = {https://doi.org/10.3758/s13428-022-02029-6},
  doi = {10.3758/s13428-022-02029-6},
}