DocumentCode
1523277
Title
Improved maximum model distance for HMM training
Author
He, Q.-H. ; Kwong, S. ; Man, K.F. ; Tang, K.S.
Author_Institution
South China Univ. of Technol., Guangzhou, China
Volume
35
Issue
10
fYear
1999
fDate
5/13/1999 12:00:00 AM
Firstpage
783
Lastpage
785
Abstract
A new approach based on the maximum model distance (IMMD) approach for HMM speech recognition systems is proposed. It defines a more realistic model distance definition for HMM training, and utilises the limited training data in a more effective manner. Theoretical and practical issues concerning this approach are investigated. Experimental results showed that a significant reduction in errors could be achieved with this new approach when compared with the maximum model distance (MMD) criterion
Keywords
hidden Markov models; speech recognition; HMM training; maximum model distance; speech recognition systems; training data;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19990550
Filename
771415
Link To Document