Challenge: a critical ambiguity persists regarding what constitutes "joint ASR and diarization" a unified framework for multi-speaker ASR is proposed, but it is not yet clear what constitute "diarization."
Approach: They propose a unified LLM-based framework that uses Temporal Anchor Grounding for joint multi-speaker ASR and diarization.
Outcome: The proposed framework improves on AMI and AliMeeting benchmarks on speaker-content alignment . the proposed framework achieves consistent improvements in Diarization Error Rate over strong baselines .

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