ISCA Archive Eurospeech 1995
ISCA Archive Eurospeech 1995

An improvement on syllable-based continuous Mandarin speech recognition via using inter-syllable boundary models

Saga Chang, Sin-Horng Chen

One of the most important problems in continuous speech recognition is to accurately model the acoustic variabilities caused by coarticulation in order to obtain high recognition accuracy. In this paper, a novel approach to solve the problem for compensating inter-syllable coarticulation effect on syllable-based continuous Mandarin speech recognition is proposed. Inter-syllable coarticulation is directly modelled by supplementing the context-independent syllable HMM models with some inter-syllable boundary models. Experimental results showed that the syllable recognition errors of a speaker-dependent continuous speech recognition task was reduced by 24%.