Paper Info
Title
The speaker partitioning problem.
Abstract
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.
Year
Venue
DocType
2010
ODYSSEY 2010: THE SPEAKER AND LANGUAGE RECOGNITION WORKSHOP
Conference
Citations 
PageRank 
References 
50
3.95
8
Authors
2
Name
Order
Citations
PageRank
Niko Brümmer159544.01
Edward de Villiers21358.81