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arXiv · 2308.08294

The ID R&D VoxCeleb Speaker Recognition Challenge 2023 System Description

Nikita Torgashov·Rostislav Makarov·Ivan Yakovlev·Pavel Malov·Andrei Balykin·Anton Okhotnikov
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Abstract

This report describes ID R&D team submissions for Track 2 (open) to the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our solution is based on the fusion of deep ResNets and self-supervised learning (SSL) based models trained on a mixture of a VoxCeleb2 dataset and a large version of a VoxTube dataset. The final submission to the Track 2 achieved the first place on the VoxSRC-23 public leaderboard with a minDCF(0.05) of 0.0762 and EER of 1.30%.

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Nikita Torgashov, Rostislav Makarov, Ivan Yakovlev, Pavel Malov, Andrei Balykin, Anton Okhotnikov. 2023-08-16. The ID R&D VoxCeleb Speaker Recognition Challenge 2023 System Description. https://arxiv.org/abs/2308.08294

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