从动作捕捉和视频数据理解手语中的韵律停顿

Imen Lagha, Achraf Othman
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摘要

在本文中,我们试图理解对话代理(虚拟化身)如何实现人类友好的手语翻译,以提高听力障碍和低文化水平的听力障碍人士的网络可访问性。手语的关键要素之一是在机器翻译或使用辅助技术的实时口译中应用手语对话中的韵律停顿。我们通过几个例子来介绍韵律停顿在手语中的重要性。在此基础上,我们提出了一种基于句子语法和其他语法特征的动作捕捉和视频数据的韵律暂停识别方法。
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Understanding Prosodic Pauses in Sign Language from Motion-Capture and Video-data
In this paper, we deal to understand how the conversational agent (avatar) can achieve human-friendly Sign Language interpretations to improve web accessibility to people with hearing disability and hearing impairment with a low level of literacy. One of the key element in Sign Language is the prosodic pauses during a conversation in Sign Language applied in a machine translation or in real-time interpretation using assistive technologies. We introduce the importance of the prosodic pauses in Sign Language through several examples. After that, we present an approach to recognize prosodic pauses from Motion-Capture and Video-data based on the sentence syntax and other grammatical features.
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