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This paper describes the BUCEA speaker diarization system for the 2022VoxCeleb Speaker Recognition Challenge. Voxsrc-22 provides the development setand test set of VoxConverse, and we mainly use the test set of VoxConverse forparameter adjustment. Our system consists of several modules, including speechactivity detection (VAD), speaker embedding extractor, clustering methods,overlapping speech detection (OSD), and result fusion. Without consideringoverlap, the Dover-LAP (short for Diarization Output Voting Error Reduction)method was applied to system fusion, and overlapping speech detection andprocessing were finally carried out. Our best system achieves a diarizationerror rate (DER) of 5.48% and a Jaccard error rate (JER) of 32.1% on the VoxSRC2022 evaluation set respectively.

The BUCEA Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2022