DocumentCode :
1306399
Title :
Adaptation of hidden Markov model for telephone speech recognition and speaker adaptation
Author :
Chien, J.-T. ; Wang, H.-C.
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Volume :
144
Issue :
3
fYear :
1997
fDate :
6/1/1997 12:00:00 AM
Firstpage :
129
Lastpage :
135
Abstract :
The authors propose a channel compensation method for the hidden Markov model (HMM) parameters in automatic speech recognition. The proposed approach is to adapt the existing reference models to a new channel environment by using a small amount of adaptation data. The concept of HMM parameter adaptation by incorporating the corresponding phone-dependent channel compensation (PDCC) vectors is applied to improve the performance of speech recognition. Two extended PDCC techniques are presented. One is based on the refinement of PDCC using vector quantisation. The other is based on the interpolation of compensation vectors. Both techniques are evaluated on the experiments on telephone speech recognition and speaker adaptation. The experimental results show that the performance can be significantly improved
Keywords :
hidden Markov models; interpolation; speech recognition; telecommunication channels; telephony; vector quantisation; HMM parameter adaptation; VQ; adaptation data; automatic speech recognition; channel compensation method; experimental results; hidden Markov model; interpolation; phone dependent channel compensation vectors; reference models; speech recognition performance; telephone speaker adaptation; telephone speech recognition; vector quantisation;
fLanguage :
English
Journal_Title :
Vision, Image and Signal Processing, IEE Proceedings -
Publisher :
iet
ISSN :
1350-245X
Type :
jour
DOI :
10.1049/ip-vis:19971049
Filename :
599886
Link To Document :
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