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arXiv · 2109.02549

XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021

Jie Wang·Fuchuang Tong·Zhicong Chen·Lin Li·Qingyang Hong·Haodong Zhou
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Abstract

This paper describes the XMUSPEECH speaker recognition and diarisation systems for the VoxCeleb Speaker Recognition Challenge 2021. For track 2, we evaluate two systems including ResNet34-SE and ECAPA-TDNN. For track 4, an important part of our system is VAD module which greatly improves the performance. Our best submission on the track 4 obtained on the evaluation set DER 5.54% and JER 27.11%, while the performance on the development set is DER 2.92% and JER 20.84%.

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BibTeXRIS

Jie Wang, Fuchuang Tong, Zhicong Chen, Lin Li, Qingyang Hong, Haodong Zhou. 2021-09-06. XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021. https://arxiv.org/abs/2109.02549

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