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Turning Anonymous Diarization Clusters into Names

23:39

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Turning anonymous speaker clusters into verified names requires more than matching audio clips. The pipeline relies on fixed-length speaker embeddings, pooling layers, and angular margin losses like ArcFace to represent vocal identity across varying speech lengths. While short introductions seem convenient, limited phonetic variety degrades accuracy. The mechanics of x-vectors, ECAPA-TDNN…