深度视觉语音生成研究进展与展望

Reasearch progress and prospects of deep learning for visual speech generation

为了进一步推进深度学习技术驱动的视觉语音生成相关科学问题的研究进展,阐述了视觉语音生成的研究意义与基本定义,并深入剖析了该领域面临的难点与挑战;在此基础上,介绍了目前视觉语音生成研究的现状与发展水平,基于生成框架的区别对近期主流方法进行了梳理、归类和评述;最后探讨视觉语音生成研究潜在的问题和可能的研究方向。

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.