DocumentCode :
1387554
Title :
Phone-dependent channel compensated hidden Markov model for telephone speech recognition
Author :
Chien, Jen-Tzung ; Wang, Hsiao-Chuan
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
5
Issue :
6
fYear :
1998
fDate :
6/1/1998 12:00:00 AM
Firstpage :
143
Lastpage :
145
Abstract :
We propose the phone-dependent channel compensated hidden Markov model (PDCC-HMM) for telephone speech recognition. The PDCC-HMM is derived by modifying the conventional hidden Markov model (HMM) with the phone-dependent channel compensation vectors. The telephone speech is recognized efficiently by using the derived PDCC-HMM. Experiments demonstrate the robustness of PDCC-HMM in speech recognition and show the significant reduction of recognition error rate by 50% compared to the conventional HMM method.
Keywords :
compensation; hidden Markov models; speech recognition; telephony; PDCC-HMM; hidden Markov model; phone-dependent channel compensation vectors; robustness; telephone speech recognition; Associate members; Automatic speech recognition; Cepstral analysis; Error analysis; Hidden Markov models; Robustness; Signal processing algorithms; Speech enhancement; Speech recognition; Telephony;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.681431
Filename :
681431
Link To Document :
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