  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%.
