pyannote-audio's Introduction

Announcement

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pyannote-audio

Neural building blocks for speaker diarization

Installation

$ conda create --name pyannote python=3.6 anaconda
$ source activate pyannote
$ conda install -c conda-forge yaafe
$ conda install cmake
$ pip install -U pip setuptools
$ pip install --process-dependency-links pyannote.audio

Citation

If you use pyannote.audio in your research, please use the following citations.

Speech activity and speaker change detection

@inproceedings{Yin2017,
  Author = {Ruiqing Yin and Herv\'e Bredin and Claude Barras},
  Title = {{Speaker Change Detection in Broadcast TV using Bidirectional Long Short-Term Memory Networks}},
  Booktitle = {{18th Annual Conference of the International Speech Communication Association, Interspeech 2017}},
  Year = {2017},
  Month = {August},
  Address = {Stockholm, Sweden},
  Url = {https://github.com/yinruiqing/change_detection}
}

Speaker embedding

@inproceedings{Bredin2017,
    author = {Herv\'{e} Bredin},
    title = {{TristouNet: Triplet Loss for Speaker Turn Embedding}},
    booktitle = {42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017},
    year = {2017},
    url = {http://arxiv.org/abs/1609.04301},
}

Speaker diarization pipeline

@inproceedings{Yin2018,
  Author = {Ruiqing Yin and Herv\'e Bredin and Claude Barras},
  Title = {{Neural Speech Turn Segmentation and Affinity Propagation for Speaker Diarization}},
  Booktitle = {{19th Annual Conference of the International Speech Communication Association, Interspeech 2018}},
  Year = {2018},
  Month = {September},
  Address = {Hyderabad, India},
}