计算机应用研究2013，Vol.30Issue(1)：288-290,294,4.DOI:10.3969/j.issn.1001-3695.2013.01.074
一种基于LDAO的唇读特征提取算法
Feature extraction based on LDAO algorithm in lipreading
摘要
Abstract
In speech and lipreading recognition application, LDA (linear discriminant analysis) algorithm is usually based on syllable, semi-syllable, HMM state or other class units. But the extracted features based on traditional LDA have no direct relation to recognition accuracy. This paper proposed linear discriminant analysis based on object (LDAO) algorithm on recognizing isolated words in lipreading. It selected objects to be recognized as class to LDA, which ensured feature extracting followed the most discriminant directions among objects in theory. Experiments on bimodal database show that this algorithm is superior to any other feature extracting algorithms in lipreading. Specifically, the recognition accuracy is better than DCT + LDA algorithm about 3%.关键词
唇读/特征提取/线性判别分析算法/基于对象的线性判别分析算法Key words
lipreading/ feature extracting/ LDA algorithm/ LDAO algorithm分类
信息技术与安全科学引用本文复制引用
何俊,李赣平..一种基于LDAO的唇读特征提取算法[J].计算机应用研究,2013,30(1):288-290,294,4.基金项目
国家自然科学基金资助项目(61064004) （61064004）
