English

VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge

Sound 2023-03-07 v2 Machine Learning Audio and Speech Processing

Abstract

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.

Keywords

Cite

@article{arxiv.2302.10248,
  title  = {VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition Challenge},
  author = {Jaesung Huh and Andrew Brown and Jee-weon Jung and Joon Son Chung and Arsha Nagrani and Daniel Garcia-Romero and Andrew Zisserman},
  journal= {arXiv preprint arXiv:2302.10248},
  year   = {2023}
}
R2 v1 2026-06-28T08:44:56.538Z