Semi-Continuous Hidden Markov Model Optimized Pronunciation Pattern Recognition in English Education

Abstract

. The purpose of this paper was to study the improved recognition algorithm and use the DTW in speech recognition to automatically recognize the learner's English pronunciation, realize basic recognition and scoring, and provide English learners with more feasible pronunciation information feedback. This paper focused on the theoretical issues of signal preprocessing, frame decomposition, feature selection and calculation, feature matching, etc. in the process of speech recognition, so as to theoretically clarify the speech recognition ideas and key technical issues and provide a theoretical basis for the future research and development of speech recognition technology in hardware or software. The research shows that the proposed algorithm has certain effects and can provide theoretical reference for subsequent related research