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This report describes our submission to the VoxCeleb Speaker RecognitionChallenge (VoxSRC) at Interspeech 2020. We perform a careful analysis ofspeaker recognition models based on the popular ResNet architecture, and traina number of variants using a range of loss functions. Our results showsignificant improvements over most existing works without the use of modelensemble or post-processing. We release the training code and pre-trainedmodels as unofficial baselines for this year's challenge.

Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020