计算机工程与应用2009，Vol.45Issue(32)：150-152,155,4.DOI:10.3778/j.issn.1002-8331.2009.32.047
在DCT域进行LDA的唇读特征提取方法
LDA based feature extraction method in DCT domain in lipreading
摘要
Abstract
To solve the key problem of extracting visual speech feature in lipreading,a method based on DCT and LDA is proposed.To extract most discriminative visual feature among different mouth classes,first,DCT is performed on the visual speech region;and then based on LDA the most discriminative feature vector is extracted from DCT coefficients.The experiments on speaker-dependent,speaker-independent database and in real-time lipreading environment show that this method is more effective than traditional manual DCT coefficients extraction method and PCA feature extraction method.关键词
唇读/特征提取/离散余弦变换(DCT)/线性判别分析(LDA)Key words
lipreading/ feature extraction/ Discrete Cosine Transformation(DCT) / Linear Discriminative Analysis(LDA)分类
计算机与自动化引用本文复制引用
何俊,张华,刘继忠..在DCT域进行LDA的唇读特征提取方法[J].计算机工程与应用,2009,45(32):150-152,155,4.基金项目
江西省教育厅基金(the Educational Foundation of Jiangxi Province of China under Grant No.GJJ08012) （the Educational Foundation of Jiangxi Province of China under Grant No.GJJ08012）
南昌大学创新团队基金. （）
