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Synthesizing Expressive Facial and Speech Animation by Text-to-IPA Translation with Emotion Control

机译:通过文本到IPA的翻译和情感控制来合成表情和语音动画

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Given the complexity of human facial anatomy, animating facial expressions and lip movements for speech is a very time-consuming and tedious task. In this paper, a new text-to-animation framework for facial animation synthesis is proposed. The core idea is to improve the expressiveness of lip-sync animation by incorporating facial expressions in 3D animated characters. This idea is realized as a plug-in in Autodesk Maya, one of the most popular animation platforms in the industry, such that professional animators can effectively apply the method in their existing work. We evaluate the proposed system by conducting two sets of surveys, in which both novice and experienced users participate in the user study to provide feedback and evaluations from different perspectives. The results of the survey highlight the effectiveness of creating realistic facial animations with the use of emotion expressions. Video demos of the synthesized animations are available online at https://git.io/fx5U3.
机译:考虑到人类面部解剖结构的复杂性,为语音设置面部表情和嘴唇运动的动画是非常耗时且乏味的任务。本文提出了一种新的文本动画框架,用于人脸动画合成。核心思想是通过将面部表情纳入3D动画角色中来改善口型同步动画的表现力。这个想法是通过Autodesk Maya中的插件实现的,该插件是业内最流行的动画平台之一,因此专业动画制作人员可以在现有工作中有效地应用该方法。我们通过进行两组调查来评估提议的系统,新手和有经验的用户都将参与其中,以从不同的角度提供反馈和评估。调查结果突出了通过使用情感表达来创建逼真的面部动画的有效性。合成动画的视频演示可从https://git.io/fx5U3在线获得。

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