DocumentCode
1109832
Title
Maximum likelihood clustering of Gaussians for speech recognition
Author
Kannan, A. ; Ostendorf, M. ; Rohlicek, J.R.
Author_Institution
Dept. of Electr. Comput. & Syst. Eng., Boston Univ., MA, USA
Volume
2
Issue
3
fYear
1994
fDate
7/1/1994 12:00:00 AM
Firstpage
453
Lastpage
455
Abstract
Describes a method for clustering multivariate Gaussian distributions using a maximum likelihood criterion. The authors point out possible applications of model clustering, and then use the approach to determine classes of shared covariances for contest modeling in speech recognition, achieving an order of magnitude reduction in the number of covariance parameters, with no loss in recognition performance
Keywords
maximum likelihood estimation; speech recognition; stochastic processes; contest modeling; covariance parameters; maximum likelihood clustering; maximum likelihood criterion; model clustering; multivariate Gaussian distributions; recognition performance; shared covariances; speech recognition; Context modeling; Distributed computing; Gaussian distribution; Gaussian processes; Hidden Markov models; Maximum likelihood estimation; Parameter estimation; Performance loss; Robustness; Speech recognition;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.294362
Filename
294362
Link To Document