arXiv · 2009.14153
Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020
Abstract
This report describes our submission to the VoxCeleb Speaker Recognition Challenge (VoxSRC) at Interspeech 2020. We perform a careful analysis of speaker recognition models based on the popular ResNet architecture, and train a number of variants using a range of loss functions. Our results show significant improvements over most existing works without the use of model ensemble or post-processing. We release the training code and pre-trained models as unofficial baselines for this year's challenge.
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Hee Soo Heo, Bong-Jin Lee, Jaesung Huh, Joon Son Chung. 2020-09-29. Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020. https://arxiv.org/abs/2009.14153
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