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Deep Learning for Visual Speech Analysis: A Survey
March 15, 2024, 4:46 a.m. | Changchong Sheng, Gangyao Kuang, Liang Bai, Chenping Hou, Yulan Guo, Xin Xu, Matti Pietik\"ainen, Li Liu
cs.CV updates on arXiv.org arxiv.org
Abstract: Visual speech, referring to the visual domain of speech, has attracted increasing attention due to its wide applications, such as public security, medical treatment, military defense, and film entertainment. As a powerful AI strategy, deep learning techniques have extensively promoted the development of visual speech learning. Over the past five years, numerous deep learning based methods have been proposed to address various problems in this area, especially automatic visual speech recognition and generation. To push …
abstract ai strategy analysis applications arxiv attention cs.cv deep learning deep learning techniques defense development domain entertainment film medical military promoted public security speech speech analysis strategy survey treatment type visual
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