Reasearch progress and prospects of deep learning for visual speech generation

doi:10.11887/j.cn.202402013

Home > Archive>Volume 46, Issue 2, 2024 >123-138. DOI:10.11887/j.cn.202402013

Reasearch progress and prospects of deep learning for visual speech generation
DOI:
                        10.11887/j.cn.202402013
                    
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Affiliation:(1. College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China;2. Operational Software and Simulation Institute, Dalian Navy Academy, Dalian 116016, China;3. Center for Teaching and Research Support, National University of Defense Technology, Changsha 410073, China;4. National Key Laboratory of Electromagnetic Energy, Naval University of Engineering, Wuhan 430033, China)
Clc Number:TP183
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Abstract:

In order to further advance the development of visual speech learning, the task definition and research significance of visual speech generation was expounded and the difficulties and challenges were deeply analyzed in this field. Besides, the current status and development level of visual speech generation research was introduced, and the recent mainstream methods were sorted, classified and commented based on the difference of generation frameworks. At the end of the paper, the potential problems and possible research directions of visual speech generation were discussed.

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Received:June 09,2022
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Online: April 07,2024
Published: April 28,2024

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