arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2012.06867cs.SDcs.LGeess.AS

VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge

University of Oxford(牛津大学);Naver Corporation(Naver公司);SRI International(SRI国际);MIT Lincoln Laboratory(麻省理工学院林肯实验室)

Arsha Nagrani, Joon Son Chung, Jaesung Huh, Andrew Brown, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A Reynolds, Andrew Zisserman

英文摘要:

We held the second installment of the VoxCeleb Speaker Recognition Challenge in conjunction with Interspeech 2020. The goal of this challenge was to assess how well current speaker recognition technology is able to diarise and recognize speakers in unconstrained or `in the wild' data. It consisted of: (i) a publicly available speaker recognition and diarisation dataset from YouTube videos together with ground truth annotation and standardised evaluation software; and (ii) a virtual public challenge and workshop held at Interspeech 2020. This paper outlines the challenge, and describes the baselines, methods used, and results. We conclude with a discussion of the progress over the first installment of the challenge.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑