PTeacher: a Computer-Aided Personalized Pronunciation Training System with Exaggerated Audio-Visual Corrective Feedback
Yaohua Bu, Tianyi Ma, Weijun Li, Hang Zhou, Jia Jia, Shengqi Chen,, Kaiyuan Xu, Dachuan Shi, Haozhe Wu, Zhihan Yang, Kun Li, Zhiyong Wu, Yuanchun, Shi, Xiaobo Lu, Ziwei Liu

TL;DR
PTeacher is a personalized computer-aided pronunciation training system that uses exaggerated audio-visual feedback, tailored to individual learners' needs, to improve L2 English pronunciation effectively.
Contribution
This work introduces a novel personalized exaggeration mechanism for audio-visual feedback in pronunciation training, based on learner and teacher insights, enhancing effectiveness.
Findings
Significant improvement in learners' pronunciation accuracy.
Effective personalization of exaggeration levels based on learner profiles.
Enhanced learning efficiency demonstrated through user studies.
Abstract
Second language (L2) English learners often find it difficult to improve their pronunciations due to the lack of expressive and personalized corrective feedback. In this paper, we present Pronunciation Teacher (PTeacher), a Computer-Aided Pronunciation Training (CAPT) system that provides personalized exaggerated audio-visual corrective feedback for mispronunciations. Though the effectiveness of exaggerated feedback has been demonstrated, it is still unclear how to define the appropriate degrees of exaggeration when interacting with individual learners. To fill in this gap, we interview 100 L2 English learners and 22 professional native teachers to understand their needs and experiences. Three critical metrics are proposed for both learners and teachers to identify the best exaggeration levels in both audio and visual modalities. Additionally, we incorporate the personalized dynamic…
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Taxonomy
TopicsPhonetics and Phonology Research · Speech and dialogue systems · Speech Recognition and Synthesis
