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A survey on the animation of signing avatars: From sign representation to utterance synthesis

机译:签署头像动画的调查:从符号表示到话语合成

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Signing avatars make it possible for deaf people to access information in their preferred language. However, sign language synthesis represents a challenge for the computer animation community as the motions generated must be realistic and have a precise semantic meaning. In this article, we distinguish the synthesis of isolated signs deprived of any contextual inflections from the generation of full sign language utterances. In both cases, the animation engine takes as input a representation of the synthesis objective to create the final animation. Because of their spatiotemporal characteristics, signs and utterances cannot be described by a sequential representation like phonetics in spoken languages. For this reason, linguistic and gestural studies have aimed to capture the typical and special features of signs and sign language syntax to promote different sign language representations. Those sign representations can then be used to produce an avatar animation thanks to sign synthesis techniques based on keyframes, procedural means or data-driven approaches. Novel utterances can also be generated using concatenative or articulatory techniques.This article constitutes a survey of (i) the challenges specific to sign languages avatars, (ii) the sign representations developed in order to synthesize isolated signs, (iii) the possible sign synthesis approaches, (iv) the different utterance specifications, and (v) the challenges and animation techniques for generating sign language utterances. (C) 2020 Elsevier Ltd. All rights reserved.
机译:签名的头像使聋人可以以他们的首选语言访问信息。然而,标志语言综合对计算机动画社区表示挑战,因为产生的动作必须是现实的并且具有精确的语义含义。在本文中,我们区分了从完整标志语言话语的产生中剥夺了任何情境拐点的孤立标志的合成。在这两种情况下,动画引擎都会作为输入的表示目标,以创建最终动画。由于它们的时空特征,符号和话语不能通过口语语言的语音等顺序表示来描述。出于这个原因,语言和识别研究旨在捕获符号和手语法语法的典型和特殊功能,以促进不同的手语表示。然后,可以使用这些标志表示来生成化身动画,因为基于关键帧,程序手段或数据驱动方法签署综合技术。还可以使用连通性或明晰的技术产生新的话语。这篇文章构成了(i)对符号语言的挑战的调查,(ii)为合成孤立的标志而制定的标志表示,(iii)可能的标志合成方法,(iv)不同的话语规范,(v)用于生成手语言论的挑战和动画技术。 (c)2020 elestvier有限公司保留所有权利。

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