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CNN-based audio segmentation toolkit. Does voice activity detection, speech detection, music detection, speaker gender recognition.

Project description

Split audio signal into homogeneous zones of speech and music, and detect speaker gender.

inaSpeechSegmenter has been presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018 conference in Calgary, Canada. If you use this toolbox in your research, you can cite the following work in your publications :

  author = {Doukhan, David and Carrive, Jean and Vallet, Félicien and Larcher, Anthony and Meignier, Sylvain},
  title = {An Open-Source Speaker Gender Detection Framework for Monitoring Gender Equality},
  year = {2018},
  booktitle={Acoustics Speech and Signal Processing (ICASSP), 2018 IEEE International Conference on}

inaSpeechSegmenter won MIREX 2018 speech detection challenge.
Details on the speech detection submodule can be found bellow:

  author = {Doukhan, David and Lechapt, Eliott and Evrard, Marc and Carrive, Jean},
  year = {2018},
  booktitle={Music Information Retrieval Evaluation eXchange (MIREX 2018)}

Project details

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Filename, size & hash SHA256 hash help File type Python version Upload date
inaSpeechSegmenter-0.1.0-py3-none-any.whl (32.5 MB) Copy SHA256 hash SHA256 Wheel py3 Oct 11, 2018
inaSpeechSegmenter-0.1.0.tar.gz (32.5 MB) Copy SHA256 hash SHA256 Source None Oct 11, 2018

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