AI RESEARCH
TCG CREST System Description for the DISPLACE-M Challenge
arXiv CS.LG
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ArXi:2603.02030v3 Announce Type: replace-cross This report presents the TCG CREST system description for Track 1 (Speaker Diarization) of the DISPLACE-M challenge, focusing on naturalistic medical conversations in noisy rural-healthcare scenarios. Our study evaluates the impact of various voice activity detection (VAD) methods and advanced clustering algorithms on overall speaker diarization (SD) performance.