Automatic mispronunciation detection for Mandarin Chinese based on articulation place and articulation manner

Summary form only given. In computer assisted pronunciation training system (CAPT), detecting mispronunciations produced by non-native speakers and providing detailed instructive feedbacks are two key points, because it is helpful to L2 learners to improve their pronunciation more effectively. We wish to give feedbacks relate to articulation-placement and articulation-manner, and connect with the detection task through modeling and detecting the mispronunciations on account of the erroneous articulation tendencies, including the place of articulation and the manner of articulation. In this paper, we focus on Japanese learners of Mandarin Chinese, and present our study on phonetic segmental mispronunciations detection work. The experimental results show that the approach can detect the mostly representative pronunciation errors moderately well.