The speaker partitioning problem
SESSION 8: Human performances in Speaker recognition, Speaker clustering and partitioning
Added: 14. 7. 2010 11:08, Author: Niko Brümmer, Edward de Villiers (Agnitio), Length: 0:20:23
We give a unification of several different speaker recognition problems in terms of the general speaker partitioning problem, where a set of N inputs has to be partitioned into subsets according to speaker. We show how to solve this problem in terms of a simple generative model and demonstrate performance on NIST SRE 2006 and 2008 data. Our solution yields probabilistic outputs, which we show how to evaluate with a cross-entropy criterion. Finally, we show improved accuracy of the generative model via a discriminatively trained re-calibration transformation of log-likelihoods.
Lecture Information
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Video resolution: | 720x576 px |
Audio track: | MP3 [7.00 MB], 0:20:23 |
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