Shennong’s documentation¶
Shennong is a toolbox for speech features extraction which provide a wide range of extraction and post-processing algorithms.
It provides both a Python API and a command line interface.
It is mainly based on Kaldi using the pykaldi Python adapter.
Note
Please use the following paper to
cite shennong
:
@misc{bernard2021shennong,
title={Shennong: a Python toolbox for audio speech features extraction},
author={Mathieu Bernard and Maxime Poli and Julien Karadayi and Emmanuel Dupoux},
year={2021},
eprint={2112.05555},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Licence and copyright¶
Copyright 2018 - 2022, Inria
This work is founded by the grant ADT-193 from Inria and developed within the Cognitive Machine Learning research team.
shennong is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
shennong is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with shennong. If not, see http://www.gnu.org/licenses/.