VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge
Sound
2019-12-06 v1 Machine Learning
Audio and Speech Processing
Machine Learning
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.
Cite
@article{arxiv.1912.02522,
title = {VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge},
author = {Joon Son Chung and Arsha Nagrani and Ernesto Coto and Weidi Xie and Mitchell McLaren and Douglas A Reynolds and Andrew Zisserman},
journal= {arXiv preprint arXiv:1912.02522},
year = {2019}
}
Comments
ISCA Archive