文章基本信息

标题：LIP Motion Synthesis Using Principal Component Analysis
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作者：Disha George ; Yogesh Rathore
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：9
出版社：S&S Publications
摘要：Current studies states that not only audio but also video signs are delivering information on speechrecognition. This feature can be used as a supplementary in the field of animation and lip motion reading for theenhancement of speech recognition. It has gained a wide attention in audio-visual speech recognition (AVSR) due to itspotential applications. This research is divided into two-phases: (i) Firstly, taking frames and extracting features to bekept in database as standard. (ii) Secondly, having test image samples to be trained in neural network to check thealphabet spoken by recognizing what the person has spoke. Lip reading system has been developed using PrincipalComponent Analysis using input images and 60% success has been achieved in the test phase in similar alphabets lipmovements (such as u, o, q, b, e, i, l, n etc.).
关键词：Lip reading; Eigen values and Eigen vectors; Principal Component Analysis; Neural Network