DocumentCode :
1046759
Title :
Maximum a Posteriori Adaptation of the Centroid Model for Speaker Verification
Author :
Hautamaki, Ville ; Kinnunen, Tomi ; Karkkainen, I. ; Saastamoinen, Juhani ; Tuononen, Marko ; Franti, Pasi
Author_Institution :
Univ. of Joensuu, Joensuu
Volume :
15
fYear :
2008
fDate :
6/30/1905 12:00:00 AM
Firstpage :
162
Lastpage :
165
Abstract :
Maximum a posteriori adapted Gaussian mixture model (GMM-MAP) is widely used in speaker verification. GMMs have three sets of parameters to be adapted: means, covariances, and weights. However, practice has shown that it is sufficient to adapt the means only. Motivated by this, we formulate maximum a posteriori vector quantization (VQ-MAP) procedure which stores and adapts the mean vectors (centroids) only. Experiments on the NIST 2001 and NIST 2006 corpora indicate that VQ-MAP gives comparable accuracy with GMM-MAP with simpler implementation and faster adaptation.
Keywords :
Gaussian processes; maximum likelihood estimation; speaker recognition; vector quantisation; Gaussian mixture model; centroid model; maximum a posteriori adaptation; speaker verification; vector quantization; Application software; Computer science; Image processing; Maximum likelihood estimation; NIST; Speaker recognition; Speech processing; Testing; Training data; Vector quantization; Bayesian methods; centroid model; maximum a posteriori (MAP) adaptation; speaker verification; vector quantization;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2007.914792
Filename :
4439725
Link To Document :
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