With the development of deep learning, lip recognition technology has made great progress in English, but there is a certain gap in Chinese in both data set richness and recognition accuracy. By analyzing the visual characteristics of Chinese pronunciation, this paper puts forward the pinyin sequence of picture frames in order to avoid the ambiguity of Chinese visual expression. In order to verify the validity of pinyin sequence of picture frames, a pinyin sequence recognition model combining 3D+2D convolutional neural network with Bi-ConvLSTM and a Chinese character prediction model PPTC are proposed. Using the pinyin sequence of picture frames as the medium, the picture frames are converted into Chinese sentences. Through experiments, the superiority of the model is proved, which provides a benchmark for future work.
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