/DomainAdversarialVoiceActivityDetection

Code for reproducing experiments in "Domain-Adversarial Voice Activity Detection"

Primary LanguageJupyter NotebookMIT LicenseMIT

Domain Adversarial Voice Activity Detection

You can follow these instructions for reproducing the results of our End-to-end Domain Adversarial Voice Activity Detection paper.

  1. Installation
  2. Database preparation
  3. Running experiments
  4. (Extra) Results

How to cite ?

  • End-to-end Domain Adversarial Voice Activity Detection
@inproceedings{EndToEndDAVAD2020,
    author = {Marvin Lavechin and Marie-Philippe Gill and Ruben Bousbib and Herv\'{e} Bredin and Leibny Paola Garcia-Perera},
    title = {{End-to-end Domain-Adversarial Voice Activity Detection}},
    year = {2020},
    url = {https://arxiv.org/abs/1910.10655},
}
  • pyannote.audio
@inproceedings{Bredin2020,
  Title = {{pyannote.audio: neural building blocks for speaker diarization}},
  Author = {{Bredin}, Herv{\'e} and {Yin}, Ruiqing and {Coria}, Juan Manuel and {Gelly}, Gregory and {Korshunov}, Pavel and {Lavechin}, Marvin and {Fustes}, Diego and {Titeux}, Hadrien and {Bouaziz}, Wassim and {Gill}, Marie-Philippe},
  Booktitle = {ICASSP 2020, IEEE International Conference on Acoustics, Speech, and Signal Processing},
  Address = {Barcelona, Spain},
  Month = {May},
  Year = {2020},
}