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Unsupervised classification of speaker roles in multi-participant conversational speech
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文摘
We propose an unsupervised and universal method for speaker roles classification. We extract features from turns, speech segments and both of them for speaker role classification. We propose a role clustering algorithm based on maximizing inter-cluster distances.

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