VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge
Huh, Jaesung, Brown, Andrew, Jung, Jee-weon, Chung, Joon Son, Nagrani, Arsha, Garcia-Romero, Daniel, Zisserman, Andrew
–arXiv.org Artificial Intelligence
This paper summarises the findings from the VoxCeleb Speaker Recognition Challenge 2022 (VoxSRC-22), which was held in conjunction with INTERSPEECH 2022. The goal of this challenge was to evaluate how well state-of-the-art speaker recognition systems can diarise and recognise speakers from speech obtained "in the wild". The challenge consisted of: (i) the provision of publicly available speaker recognition and diarisation data from YouTube videos together with ground truth annotation and standardised evaluation software; and (ii) a public challenge and hybrid workshop held at INTERSPEECH 2022. We describe the four tracks of our challenge along with the baselines, methods, and results. We conclude with a discussion on the new domain-transfer focus of VoxSRC-22, and on the progression of the challenge from the previous three editions.
arXiv.org Artificial Intelligence
Mar-6-2023
- Country:
- Asia
- Europe
- France > Grand Est
- Bas-Rhin > Strasbourg (0.04)
- United Kingdom > England
- Oxfordshire > Oxford (0.14)
- France > Grand Est
- North America > United States (0.04)
- Genre:
- Research Report (0.64)
- Technology: