关键词: 唇语识别, 唇语语料库, 深度学习, 交叉领域

Abstract: Excellent lip corpora can provide a good foundation for lip recognition. However, the lack of universal lip corpus is one of the important reasons for the slow development of lip recognition. This paper comprehensively reviews the characteristics of more than twenty corpora. Firstly, it briefly introduces the traditional methods and deep learning methods of lip recognition. Secondly, it focuses on the collection and research of the influential lip corpora for more than two decades, makes comparisons and analysis from twelve aspects, such as identification object, corpus size, recording mode and recording environment, and finds out their respective advantages, disadvantages and application scopes of various corpora, so that lip reading researchers will find it easier to choose corpora suitable for their own research direction. Then, it compares the algorithms adopted by various corpora and their performance. Finally, the difficulties faced by lip recognition are analyzed, and the future work is prospected.

Key words: lip recognition, lip corpus, deep learning, cross field