Study on the integration of phonetic and prosodic probability based on 3-dimension viterbi search

This paper presents a new method of continuous speech recognition for Chinese, in which phonetic and prosodic features were integrated in terms of 3-Dimension Viterbi search.The phonetic information was modeled as 60 phonemic HMMs and 11 tone HMMs of the prosodic information. Both models are synchronized based on 3-Dimension Viterbi search. We investigated integration methods of phonetic and prosodic likelihoods based on different at search paths and compared them with traditional method through the experiments on continuous speech recognition of Chinese. The efficiency of the proposed approach is verified in this paper.