摘要
随着计算机技术和网络技术的迅速发展,计算机辅助教学在教学领域中的应用日益广泛.为了帮助英语学习者纠正其发音错误,提高英语口语水平,将计算机辅助教学应用于英语口语的教学与测试中,利用了特征参数提取,基于HMM模型的语音识别,模式匹配等技术实现了一个测试系统.
With the swift development of computer technology and network technology, the application of Computer Aided Instruction (CAI) in the field of teaching is increasingly extensive. CAI is applied to spoken Eng- lish teaching and testing. A spoken English testing system is designed for people learning or practicing English, which can help them to correct their pronunciation and improve their level of spoken Some approaches such as speech feature extraction, HMM -based speech recognition technology matching are used in the paper.
出处
《通化师范学院学报》
2012年第2期28-30,共3页
Journal of Tonghua Normal University
基金
福建省教育厅B类项目(JB11265)
福建师范大学福清分校校级立项科研项目(KY2011022)
关键词
语音识别
特征提取
隐马尔可夫模型
语音评分
speech recognition
feature extraction
Hidden Markov Model (HblM)
speech evaluation English. , pattern