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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
NOLISP
2005
Springer
13 years 10 months ago
Weighting Scores to Improve Speaker-Dependent Threshold Estimation in Text-Dependent Speaker Verification
The difficulty of obtaining data from impostors and the scarcity of data are two factors that have a large influence in the estimation of speakerdependent thresholds in text-depend...
Javier R. Saeta, Javier Hernando
ICASSP
2011
IEEE
12 years 8 months ago
Factored covariance modeling for text-independent speaker verification
Gaussian mixture models (GMMs) are commonly used to model the spectral distribution of speech signals for text-independent speaker verification. Mean vectors of the GMM, used in c...
Eryu Wang, Kong-Aik Lee, Bin Ma, Haizhou Li, Wu Gu...
ICASSP
2010
IEEE
13 years 5 months ago
On the use of speaker superfactors for speaker recognition
We propose a new method to characterize a speaker within the Joint Factor Analysis (JFA) framework. Scoring within the JFA framework can be costly and a new method was proposed to...
Nicolas Scheffer, Robbie Vogt