UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023

• URL: http://arxiv.org/abs/2308.12526v1
• Date: Thu, 24 Aug 2023 03:30:38 GMT
• Title: UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023
• Authors: Yu Zheng, Yajun Zhang, Chuanying Niu, Yibin Zhan, Yanhua Long, Dongxing Xu
• Abstract summary: 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. We propose a consistency-aware score calibration method, which leverages the stability of audio voiceprints in similarity score by a Consistency Measure Factor (CMF)
• Score: 11.338256222745429
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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%.

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