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2009
ACM

Unfolding speaker clustering potential: a biomimetic approach

12 years 8 months ago
Unfolding speaker clustering potential: a biomimetic approach
Speaker clustering is the task of grouping a set of speech utterances into speaker-specific classes. The basic techniques for solving this task are similar to those used for speaker verification and identification. The hypothesis of this paper is that the techniques originally developed for speaker verification and identification are not sufficiently discriminative for speaker clustering. However, the processing chain for speaker clustering is quite large – there are many potential areas for improvement. The question is: where should improvements be made to improve the final result? To answer this question, this paper takes a biomimetic approach based on a study with human participants acting as an automatic speaker clustering system. Our findings are twofold: it is the stage of modeling that has the highest potential, and information with respect to the temporal succession of frames is crucially missing. Experimental results with our implementation of a speaker clustering sy...
Thilo Stadelmann, Bernd Freisleben
Added 28 May 2010
Updated 28 May 2010
Type Conference
Year 2009
Where MM
Authors Thilo Stadelmann, Bernd Freisleben
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