DocumentCode
1283769
Title
Hidden Markov modelling of speech based on a semicontinuous model
Author
Huang, X.D. ; Jack, M.A.
Author_Institution
Centre for Speech Technol. Res., Edinburgh Univ., UK
Volume
24
Issue
1
fYear
1988
fDate
1/7/1988 12:00:00 AM
Firstpage
6
Lastpage
7
Abstract
The discrete hidden Markov model (HMM) is extended here by using a combination of continuous Gaussian density functions derived from a vector quantised codebook together with discrete HMM output probabilities. Experimental results for a vocabulary consisting of the digit set for a group of speakers have shown that the semicontinuous approach to HMM offers improved performance in comparison to both the discrete HMM and to dynamic time warping methods which incorporate template adaptation
Keywords
Markov processes; speech recognition; continuous Gaussian density functions; digit set; discrete HMM output probabilities; discrete hidden Markov model; semicontinuous model; speech; vector quantised codebook;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
Filename
8127
Link To Document