SEGMENTAL CORRECTIVE TRAINING FOR HIDDEN MARKOV MODEL PARAMETER-ESTIMATION IN SPEECH RECOGNITION

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A modified corrective training method using state segment informations in the hidden Markov model is presented. The proposed algorithm is shown to result in a higher recognition rate than the conventional corrective training method and requires less computation.
Publisher
IEE-INST ELEC ENG
Issue Date
1991-08
Language
English
Article Type
Article
Citation

ELECTRONICS LETTERS, v.27, no.18, pp.1633 - 1635

ISSN
0013-5194
URI
http://hdl.handle.net/10203/21381
Appears in Collection
EE-Journal Papers(저널논문)
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