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arXiv · 2308.07595

The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023

Ming Cheng·Weiqing Wang·Xiaoyi Qin·Yuke Lin·Ning Jiang·Guoqing Zhao·Ming Li
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Abstract

This paper describes the DKU-MSXF submission to track 4 of the VoxCeleb Speaker Recognition Challenge 2023 (VoxSRC-23). Our system pipeline contains voice activity detection, clustering-based diarization, overlapped speech detection, and target-speaker voice activity detection, where each procedure has a fused output from 3 sub-models. Finally, we fuse different clustering-based and TSVAD-based diarization systems using DOVER-Lap and achieve the 4.30% diarization error rate (DER), which ranks first place on track 4 of the challenge leaderboard.

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Ming Cheng, Weiqing Wang, Xiaoyi Qin, Yuke Lin, Ning Jiang, Guoqing Zhao, Ming Li. 2023-08-15. The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 2023. https://arxiv.org/abs/2308.07595

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