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Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020

2020-09-29 16:55:25
Hee Soo Heo, Bong-Jin Lee, Jaesung Huh, Joon Son Chung

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.

Abstract (translated)

URL

https://arxiv.org/abs/2009.14153

PDF

https://arxiv.org/pdf/2009.14153.pdf


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