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» Using clustering comparison measures for speaker recognition
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ICASSP
2011
IEEE
12 years 8 months ago
Using clustering comparison measures for speaker recognition
Recent results seem to cast some doubt over the assumption that improvements in fused recognition accuracy for speaker recognition systems based on different acoustic features are...
Jia Min Karen Kua, Julien Epps, Mohaddeseh Nosrati...
AVSS
2006
IEEE
13 years 10 months ago
On the Performance and Use of Speaker Recognition Systems for Surveillance
We model the performance of a speaker recognition system used for surveillance to prioritize a large number of candidate speakers in search of a single target speaker. It is assum...
Peter J. Barger, Sridha Sridharan
ICASSP
2011
IEEE
12 years 8 months ago
An utterance comparison model for speaker clustering using factor analysis
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 speak...
Woojay Jeon, Changxue Ma, Dusan Macho
MM
2009
ACM
125views Multimedia» more  MM 2009»
13 years 11 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 spea...
Thilo Stadelmann, Bernd Freisleben
ICMCS
2008
IEEE
187views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Accommodating sample size effect on similarity measures in speaker clustering
We investigate the symmetric Kullback-Leibler (KL2) distance in speaker clustering and its unreported effects for differently-sized feature matrices. Speaker data is represented a...
Alexander Haubold, John R. Kender