VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge
Sound
2020-12-15 v1 Machine Learning
Audio and Speech Processing
Abstract
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.
Cite
@article{arxiv.2012.06867,
title = {VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge},
author = {Arsha Nagrani and Joon Son Chung and Jaesung Huh and Andrew Brown and Ernesto Coto and Weidi Xie and Mitchell McLaren and Douglas A Reynolds and Andrew Zisserman},
journal= {arXiv preprint arXiv:2012.06867},
year = {2020}
}