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Improved syllable-based continuous Mandarin speech recognition using intersyllable boundary models

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2 Author(s)
Saga Chang ; Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan ; Sin-Horng Chen

A novel approach to compensate for the intersyllable coarticulation effect on continuous Mandarin speech recognition by supplementing the syllable HMM models with intersyllable boundary models is proposed. Experimental results show that the syllable recognition errors of a speaker-dependent recognition task are reduced by 24%

Published in:

Electronics Letters  (Volume:31 ,  Issue: 11 )