期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2016
卷号：16
期号：3
页码：30-34
出版社：International Journal of Computer Science and Network Security
摘要：Computer Assisted Language Learning Systems have gained a lot of attention in recent decades. Mispronunciation detection is probably the most important feature of these systems. It helps user to find out their pronunciation mistakes and provide useful feedback related to that mistake. Mispronunciation detection systems can be categorized in two classes Posterior Probability based and Classifier based systems. In this paper pronunciation assessment problem is formulated as a classification problem. This research paper explores the Acoustic Phonetic Features (APF) rather than traditional Confidence Measure based scores for mispronunciation detection. Support Vector Machines (SVM) is used as a classifier to detect pronunciation mistakes. As a test case five Arabic phoneme are tested for mispronunciation detection. APF based classifier produced excellent results and give average accuracy of 97.5%. The proposed system outperforms the existing systems that have been developed for Arabic phonemes.
关键词：Computer Assisted Language Learning Systems; Mispronunciation Detection; SVM; Acoustic Phonetic Features
