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標題Title: An Articulation Training System with Intelligent Interface and Multimode Feedbacks to Articulation Disorders
作者Authors: 陳有圳,Jiunn-Liang Wu..等
上傳單位Department: 電機工程系
上傳時間Date: 2009-11-18
上傳者Author: 陳有圳
審核單位Department: 電機工程系
審核老師Teacher: 陳有圳
檔案類型Categories: 論文Thesis
關鍵詞Keyword: Articulation training, Intelligent Interface,Multimode Feedbacks
摘要Abstract: Articulation training with many kinds of stimulus and messages such as visual, voice, and articulatory information can teach user to pronounce correctly and improve user’s articulatory ability. In this paper, an articulation training system with intelligent interface and multimode feedbacks is proposed to improve the performance of articulation training. Clinical knowledge of speech evaluation is used to design the dependent network. Then, automatic speech recognition with dependent network is applied to identify the pronunciation errors. Besides, hierarchical Bayesian network is proposed to recognize user’s emotion from speeches. With the information of pronunciation errors and user’s emotional state, the articulation training sentences can be dynamically selected. Finally, a 3D facial animation is provided to teach users to pronounce a sentence by using speech, lip motion, and tongue motion. Experimental results reveal the usefulness of proposed method and system.

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2009_11_f4a3ddda.pdf 622Kb pdf 396 101
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