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- W2279438900 abstract "In recent year, lip-reading systems have received much attention, since it plays an important role in human communication with computer especially for hearing impaired or elderly people. In this paper, we introduce a new visual feature representation combines the Hypercolumn Neural Network model (HCM) with Hidden Markov Model (HMM) to achieve a complete lip-reading system. To check our system performance we introduce the Arabic language to it. According to our knowledge, this is the first time that a visual speech recognition system is applied for Arabic language. Experiments include different Arabic sentences gathered from different native speakers (Male & Female)." @default.
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- W2279438900 date "2004-09-01" @default.
- W2279438900 modified "2023-09-23" @default.
- W2279438900 title "Arabic Lip-reading System: A Combination of Hypercolumn Neural Network Model with Hidden Markov Model" @default.
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