The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge

Juan M. Martin-Donas, Aitor Alvarez

Open source

DOI
10.1109/icassp43922.2022.9747768
Published
2022-05-23
Container
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Publisher
IEEE
Open access
unknown

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BibTeX

@article{allodium:10.1109/icassp43922.2022.9747768,
  title = {The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge},
  author = {Juan M. Martin-Donas and Aitor Alvarez},
  year = {2022},
  journal = {ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  doi = {10.1109/icassp43922.2022.9747768},
  url = {https://doi.org/10.1109/icassp43922.2022.9747768}
}

RIS

TY  - JOUR
TI  - The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge
AU  - Juan M. Martin-Donas
AU  - Aitor Alvarez
PY  - 2022
JO  - ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
DO  - 10.1109/icassp43922.2022.9747768
UR  - https://doi.org/10.1109/icassp43922.2022.9747768
ER  - 

APA

Martin-Donas, J. M., & Alvarez, A. (2022). The Vicomtech Audio Deepfake Detection System Based on Wav2vec2 for the 2022 ADD Challenge. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp43922.2022.9747768

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