Acknowledgements
This work is supported by the EPSRC(Engineering and Physical Research Council) programme grant EP/T028572/1: Visual AI project.
Welcome to the 2023 VoxCeleb Speaker Recognition Challenge! The goal of this challenge is to probe how well current methods can recognize speakers from speech obtained 'in the wild'. The data is obtained from YouTube videos of celebrity interviews, as well as news shows, talk shows, and debates - consisting of audio from both professionally edited videos as well as more casual conversational audio in which background noise, laughter, and other artefacts are observed in a range of recording environments.
Details coming soon.....
| Challenge | Links |
|---|---|
| VoxSRC-19 | challenge / workshop |
| VoxSRC-20 | challenge / workshop |
| VoxSRC-21 | challenge / workshop |
| VoxSRC-22 | challenge / workshop |
All teams are required to submit a brief technical report describing their method.
All reports must be a minimum of 1 page and a maximum of 4 pages excluding references.
You can combine descriptions for multiple tracks into one report.
Reports must be written in English.
See
here,
here and
here
for examples of reports.
details coming soon....
Jaesung Huh, VGG, University of Oxford,
Jee-weon Jung, Naver, South Korea
Andrew Brown, VGG, University of Oxford,
Arsha Nagrani, Google Research,
Joon Son Chung, KAIST, South Korea,
Andrew Zisserman, VGG, University of Oxford,
Daniel Garcia-Romero, AWS AI
Mitchell McLaren, Speech Technology and Research
Laboratory, SRI International, CA,
Douglas A Reynolds, Lincoln Laboratory, MIT.
Please contact jaesung[at]robots[dot]ox[dot]ac[dot]uk if you have any queries, or if you would be interested in sponsoring this challenge.