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AN AUTOMATED TEXT-BASED SYNTHETIC FACE WITH EMOTIONS FOR WEB LECTURES

机译:一种基于文本的自动合成表情,用于Web演讲

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摘要

Web lectures have many positive aspects, e.g. they enable learners to easily control the learning experiences. To develop high-quality online learning materials takes a lot of time and human efforts (Arsham, 2002). An alternative is to develop a digital teacher. We have developed a prototype of a synthetic 3D face that shows emotion associated to text-based speech in an automated way. As a first step, we studied how humans express emotions in face-to-face communication. Based on this study, we have developed a 2D affective lexicon and a set of rules that describes dependencies between linguistic contents and emotions.
机译:网络讲座有很多积极的方面,例如它们使学习者可以轻松控制学习体验。开发高质量的在线学习材料需要大量的时间和人力(Arsham,2002)。另一种方法是发展数字老师。我们已经开发出一种合成3D面孔的原型,该面孔可以自动显示与基于文本的语音相关的情感。第一步,我们研究了人类如何在面对面的交流中表达情感。基于这项研究,我们开发了2D情感词典和描述语言内容与情感之间依存关系的一组规则。

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