Causal-anticausal consistency co-training recovers about 70% of the boundary-tightening effect possible with ideal tight labels in speaker diarization.
Third DIHARD challenge evaluation plan,
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Tight Boundary Prediction in Speaker Diarization Using Causal-Anticausal Consistency
Causal-anticausal consistency co-training recovers about 70% of the boundary-tightening effect possible with ideal tight labels in speaker diarization.