Recognition of visual speech elements using Hidden Markov Models

被引：0
|
作者：
Foo, SW [1 ]
Dong, L
机构：
[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore
[2] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119260, Singapore
来源：
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2002, PROCEEDING | 2002年 / 2532卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, a novel subword lip reading system using continuous Hidden Markov Models (HMMs) is presented. The constituent HMMs are configured according to the statistical features of lip motion and trained with the Baum-Welch method. The performance of the proposed system in identifying the fourteen visemes defined in MPEG-4 standards is addressed. Experiment results show that an average accuracy above 80% can be achieved using the proposed system.
引用
收藏
页码：607 / 614
页数：8
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