The Third DIHARD Diarization Challenge
원문 초록
DIHARD III was the third in a series of speaker diarization challenges intended to improve the robustness of diarization systems to variability in recording equipment, noise conditions, and conversational domain. Speaker diarization was evaluated under two speech activity conditions (diarization from a reference speech activity vs. diarization from scratch) and 11 diverse domains. The domains span a range of recording conditions and interaction types, including read audio-books, meeting speech, clinical interviews, web videos, and, for the first time, conversational telephone speech. A total of 30 organizations (forming 21teams) from industry and academia submitted 499 valid system outputs. The evaluation results indicate that speaker diarization has improved markedly since DIHARD I, particularly for two-party interactions, but that for many domains (e.g., web video) the problem remains far from solved.
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Efficient and Generalizable Speaker Diarization via Structured Pruning of Self-Supervised Models
Multi-Stage Speaker Diarization for Noisy Classrooms
M3SD: Multi-modal, Multi-scenario and Multi-language Speaker Diarization Dataset
Exploring Speaker Diarization with Mixture of Experts
Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models
SC-SOT: Conditioning the Decoder on Diarized Speaker Information for End-to-End Overlapped Speech Recognition
토론
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