  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.
