论文标题

VOXSRC 2021:第三个voxceleb扬声器识别挑战

VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge

论文作者

Brown, Andrew, Huh, Jaesung, Chung, Joon Son, Nagrani, Arsha, Garcia-Romero, Daniel, Zisserman, Andrew

论文摘要

Voxceleb扬声器识别挑战的第三部分与Interspeech 2021结合。这一挑战的目的是评估当前的说话者识别技术能够诊断和识别不受约束或“野生”数据中的说话者的能力。挑战包括:(i)从YouTube视频中提供公开可用的说话者识别和诊断数据,以及地面真相注释和标准化评估软件; (ii)在Interspeech 2021举行的虚拟公共挑战和研讨会。本文概述了挑战,并描述了基线,方法和结果。最后,我们讨论了Voxsrc 2021的新多语言重点,以及自前两个版本以来挑战的发展。

The third instalment of the VoxCeleb Speaker Recognition Challenge was held in conjunction with Interspeech 2021. The aim of this challenge was to assess how well current speaker recognition technology is able to diarise and recognise speakers in unconstrained or `in the wild' data. 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 virtual public challenge and workshop held at Interspeech 2021. This paper outlines the challenge, and describes the baselines, methods and results. We conclude with a discussion on the new multi-lingual focus of VoxSRC 2021, and on the progression of the challenge since the previous two editions.

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