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AN UTTERANCE COMPARISON MODEL FOR SPEAKER CLUSTERING USING FACTOR ANALYSIS

Miscellaneous Speaker Identification

Full Paper at IEEE Xplore

Přednášející: Woojay Jeon, Autoři: Woojay Jeon, Changxue Ma, Dusan Macho, Motorola, United States

We propose a novel utterance comparison model based on probability theory and factor analysis that computes the likelihood of two speech utterances originating from the same speaker. The model depends only on a set of statistics extracted from each utterance and can efficiently compare utterances using these statistics without requiring the indefinite storage of speech features. We apply the model as a distance metric for speaker clustering in the CALLHOME telephone conversation corpus to achieve competitive results compared to three other known similarity measures: the Generalized Likelihood Ratio, Cross-Likelihood Ratio, and eigenvoice distance.

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  Informace o přednášce

Nahráno: 2011-05-25 17:35 - 17:55, Panorama
Přidáno: 15. 6. 2011 16:56
Počet zhlédnutí: 59
Rozlišení videa: 1024x576 px, 512x288 px
Délka videa: 0:17:31
Audio stopa: MP3 [5.91 MB], 0:17:31