UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023
Yu Zheng Yajun Zhang Chuanying Niu Yibin Zhan Yanhua Long Dongxing Xu
This report describes the UNISOUND submission for Track1 and Track2 of
VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC 2023). We submit the same
system on Track 1 and Track 2, which is trained with only VoxCeleb2-dev.
Large-scale ResNet and RepVGG architectures are developed for the challenge. We
propose a consistency-aware score calibration method, which leverages the
stability of audio voiceprints in similarity score by a Consistency Measure
Factor (CMF). CMF brings a huge performance boost in this challenge. Our final
system is a fusion of six models and achieves the first place in Track 1 and
second place in Track 2 of VoxSRC 2023. The minDCF of our submission is 0.0855
and the EER is 1.5880%.