Read my points: Effect of animation type when speech-reading from EMA data

Kristy James, Martijn B. Wieling
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引用次数: 1

Abstract

Three popular vocal-tract animation paradigms were tested for intelligibility when displaying videos of pre-recorded Electromagnetic Articulography (EMA) data in an online experiment. EMA tracks the position of sensors attached to the tongue. The conditions were dots with tails (where only the coil location is presented), 2D animation (where the dots are connected to form 2D representations of the lips, tongue surface and chin), and a 3D model with coil locations driving facial and tongue rigs. The 2D animation (recorded in VisArtico) showed the highest identification of the prompts.
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阅读我的观点:从EMA数据中阅读演讲时动画类型的影响
在一个在线实验中,测试了三种流行的声道动画范式在显示预先录制的电磁声道成像(EMA)数据视频时的可理解性。EMA追踪附着在舌头上的传感器的位置。条件是带尾的点(只显示线圈位置),2D动画(将点连接起来形成嘴唇、舌头表面和下巴的2D表示),以及带线圈位置驱动面部和舌头的3D模型。2D动画(记录在VisArtico中)对提示的识别程度最高。
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