DocumentCode :
839986
Title :
Performance comparison between semicontinuous and discrete hidden Markov models of speech
Author :
Huang, X.D. ; Jack, M.A.
Author_Institution :
Edinburgh Univ., UK
Volume :
24
Issue :
3
fYear :
1988
fDate :
2/4/1988 12:00:00 AM
Firstpage :
149
Lastpage :
150
Abstract :
The semicontinuous hidden Markov model (SCHMM) of speech has been shown to offer improved performance in comparison to conventional discrete HMM. Experimental results with different vector quantisation levels, different probability density functions, and different numbers of tokens in the training set for the SCHMM are reported here to compare with conventional discrete HMM
Keywords :
Markov processes; speech analysis and processing; HMM; SCHMM; discrete; hidden Markov models; performance; probability density functions; semicontinuous; speech; tokens; training set; vector quantisation levels;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
Filename :
191595
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=839986
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