基于语音识别和手机平台的英语口语发音学习系统

ENGLISH LEARNING SYSTEM OF ORAL PHONATION BASED ON ASR AND SMART PHONE PLATFORM

研究一种实际可行的手机平台上基于语音识别技术的英语学习系统的应用方案。系统主要以HMM(隐马尔可夫模型)和Viterbi算法作为模型和算法基础,同时针对手机平台的限制,在算法设计和实现方面进行改进,达到降低运算时间同时保证识别精度的目的。

In this paper we study a practical and feasible application scheme of English learning system which is based on automatic speech recognition（ASR） technology and mobile phone platform.This system mainly uses HMM as its model and Viterbi algorithm as its algorithm basis.Meanwhile,for the limitation of mobile platform,it also improves the algorithm design as well as the implementation of the scheme to achieve the target of reducing computation time while ensuring identification accuracy.