Reformulating Speaker Diarization as Community Detection With Emphasis On Topological Structure

Clustering-based speaker diarization has stood firm as one of the major approaches in reality, despite recent development in end-to-end diarization. However, clustering methods have not been explored extensively for speaker diarization. Commonly-used methods such as k-means, spectral clustering, and...

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Bibliographische Detailangaben

Hauptverfasser:	Zheng, Siqi, Suo, Hongbin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Sound
Online-Zugang:	Volltext bestellen
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