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VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge (1912.02522v1)
Published 5 Dec 2019 in cs.SD, cs.LG, eess.AS, and stat.ML
Abstract: 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.
- Joon Son Chung (106 papers)
- Arsha Nagrani (62 papers)
- Ernesto Coto (4 papers)
- Weidi Xie (132 papers)
- Mitchell McLaren (11 papers)
- Douglas A Reynolds (4 papers)
- Andrew Zisserman (248 papers)