ChinaTelecom System Description to VoxCeleb Speaker Recognition Challenge 2023

• URL: http://arxiv.org/abs/2308.08181v1
• Date: Wed, 16 Aug 2023 07:21:01 GMT
• Title: ChinaTelecom System Description to VoxCeleb Speaker Recognition Challenge 2023
• Authors: Mengjie Du and Xiang Fang and Jie Li
• Abstract summary: Our system consists of several ResNet variants trained only on VoxCeleb2, which were fused for better performance later. The final submission achieved minDCF of 0.1066 and EER of 1.980%.
• Score: 7.764294108093176
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This technical report describes ChinaTelecom system for Track 1 (closed) of the VoxCeleb2023 Speaker Recognition Challenge (VoxSRC 2023). Our system consists of several ResNet variants trained only on VoxCeleb2, which were fused for better performance later. Score calibration was also applied for each variant and the fused system. The final submission achieved minDCF of 0.1066 and EER of 1.980%.

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