The ID R&D VoxCeleb Speaker Recognition Challenge 2023 System Description
2023-08-16Unverified0· sign in to hype
Nikita Torgashov, Rostislav Makarov, Ivan Yakovlev, Pavel Malov, Andrei Balykin, Anton Okhotnikov
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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%.