DocumentCode :
1543301
Title :
Adaptation scheme for hidden Markov models in noisy speech recognition
Author :
Hwang, Tai-Hwei ; Wang, Hsiao-Chuan
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume :
33
Issue :
4
fYear :
1997
fDate :
2/13/1997 12:00:00 AM
Firstpage :
257
Lastpage :
258
Abstract :
Shrinkage of the mean vectors and the variances in HMM due to additive white noise is an important issue for the speech recogniser. By giving an assumed relation between the adaptation factors for mean vector and variances, an optimal adaptation factor can be found by using the maximum likelihood method
Keywords :
hidden Markov models; maximum likelihood estimation; speech recognition; white noise; adaptation factors; additive white noise; hidden Markov models; maximum likelihood method; mean vector shrinkage; noisy speech recognition;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19970207
Filename :
583458
Link To Document :
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