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This report describes the submission system of the GIST-AiTeR team at the2022 VoxCeleb Speaker Recognition Challenge (VoxSRC) Track 4. Our system mainlyincludes speech enhancement, voice activity detection , multi-scaled speakerembedding, probabilistic linear discriminant analysis-based speaker clustering,and overlapped speech detection models. We first construct four differentdiarization systems according to different model combinations with the bestexperimental efforts. Our final submission is an ensemble system of all thefour systems and achieves a diarization error rate of 5.12% on the challengeevaluation set, ranked third at the diarization track of the challenge.

GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge