SDLGASMLDec 5, 2019

VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge

arXiv:1912.02522v164 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of speaker recognition in real-world conditions for researchers and practitioners, but it is incremental as it builds on existing datasets and methods.

The VoxCeleb Speaker Recognition Challenge 2019 aimed to evaluate speaker recognition technology using unconstrained YouTube data, resulting in a public dataset, standardized evaluation tools, and baseline results presented at a workshop.

The VoxCeleb Speaker Recognition Challenge 2019 aimed to assess how well current speaker recognition technology is able to identify speakers in unconstrained or `in the wild' data. It consisted of: (i) a publicly available speaker recognition dataset from YouTube videos together with ground truth annotation and standardised evaluation software; and (ii) a public challenge and workshop held at Interspeech 2019 in Graz, Austria. This paper outlines the challenge and provides its baselines, results and discussions.

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