错音检测及其在语音教学中的应用综述

Survey of Automatic Pronunciation Error Detection

在学习语音的过程中,找出学习者发音的错误并加以改进是非常重要的。错音检测技术就是自动诊断语流中错误发音的技术,也是计算机辅助发音训练研究的主要内容之一。该文总结了错音检测技术的研究和应用现状,分别介绍了基于语音识别、基于错音网络和基于声学语音学的错音检测技术。在此基础上又介绍了错音检测技术在计算机辅助发音训练系统中的应用,以及汉语自动发音评估技术的发展。文章最后给出了作者的分析和建议。

To detect the pronunciation errors and correct them is very important for pronunciation learning. The Au tomatic Pronunciation Error Detection （APED） is the technique of detecting pronunciation errors in the speech stream, which is one of the main research issues in the Computer Assisted Pronunciation Training （CAPT） area. This paper reviews the literature on the techniques, introducing in detail three APED methods ： the automatic speech recognition （ASR） based APED, the pronunciation error networks based APED and the acoustic-phonetic approach. It also summarizes the applications of APED in CAPT, and the automatic pronunciation evaluation technologies for mandarin.. Finally, the paper gives some analysis and suggestions for research on automatic pronunciation error detection.