VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge

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.

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Cited by in corpus (15)

• ECAPA-TDNN Embeddings for Speaker Diarization
• UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
• The IDLAB VoxSRC-20 Submission: Large Margin Fine-Tuning and Quality-Aware Score Calibration in DNN Based Speaker Verification
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• The DKU-Duke-Lenovo System Description for the Third DIHARD Speech Diarization Challenge
• Inclusive Speaker Verification with Adaptive thresholding