关键词: 计算机言语辅助训练系统, 动态时间规整, 自动发音评分, 隐马尔可夫模型

Abstract: The main work of this paper is to apply speech signal processing and speech recognition technologies in speech training for deaf children, and a computer aided speech training system suited for deaf children is designed and implemented. The system is divided into three modules, basic training, articulation training and intelligibility training, which is in the fashion of visual feedback of speech features. Based on the characteristic of deaf childrens speech training and the relation between acoustical feature and physiological feature, the contrast training method and object training method are proposed. The clinical evaluation was carried out in China Rehabilitation Research Center for Deaf Children and got a good result in second and third grade kindergarten. The experimental results show that it is effective for the contrast training method and object training method to correct the deaf childrens voice disorder and articulation disorder.

Key words: computer aided speech training system, dynamic time warping (DTW), automatic pronouncing evaluation, hidden markov model(HMM)