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In recent years, lip-reading systems have received much attention, since they play an important role in human communication with computer especially for hearing impaired and elderly people. In this pa...-per, we introduce a novel Japanese lip-reading system combines Hypercolumn Neural Network model (HCM) with Hidden Markov Model (HMM). In this system, we use HCM to extract the visual speech fea-tures from input image. The extracted features are modeled by Gaussian distributions, which is used in rec-ognition phase using HMM. The proposed lip-reading system can work under varying lip positions and sizes. Our experiments were carried out using multiple sentences of Japanese language. All images were captured in a natural environment without special lighting or lip markers used. Experimental results demon-strate that the proposed system performance is supreme.続きを見る
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Mendeley出力
AlaaHART04