Robust Speaker Diarization in a Multi-Speaker Environment Using Autocorrelation-based Noise Subtraction

This paper shows research performed into the topic of speaker diarization for multi-speaker environment. It looks into the algorithms and the implementation of an offline speaker segmentation and indexing system for recorded speech data where usually more than one speaker is present. Speaker diariza...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Mirrezaie, S.M., Ahadi, S.M., Kashi, A.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Autocorrelation Broadcasting Clustering algorithms Genetics Indexing meetings indexing Noise robustness noisy speech Robust speaker diarization speaker segmentation and clustering Speech recognition Streaming media Working environment noise
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