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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.

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Authors (7)
  1. Joon Son Chung (106 papers)
  2. Arsha Nagrani (62 papers)
  3. Ernesto Coto (4 papers)
  4. Weidi Xie (132 papers)
  5. Mitchell McLaren (11 papers)
  6. Douglas A Reynolds (4 papers)
  7. Andrew Zisserman (248 papers)
Citations (58)

Summary

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