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Segmental corrective training for hidden Markov model parameter estimation in speech recognition

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2 Author(s)
Kim, H.R. ; Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea ; Lee, H.S.

A modified corrective training method using state segment information 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.

Published in:

Electronics Letters  (Volume:27 ,  Issue: 18 )