An exemplar-based hidden markov model with discriminative visual features for lipreading

doi:10.1109/CIS.2014.74

科研成果详情

题名	An exemplar-based hidden markov model with discriminative visual features for lipreading
作者	Liu，Xin 1; Cheung，Yiu Ming 2,3
发表日期	2015-01-20
会议录名称	Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014
页码	90-93
摘要	In this paper, we address an exemplar-based hidden markov model (HMM) that represents the lip motion activity using visual cues for lipreading. The discriminative visual features including the geometric shape parameters and contour-constrained spatial histogram are selected for representing each lip frame. Then, a set of exemplars associated with the HMM is learned jointly to serve as a typical representation of a speech utterance. Based on these exemplars, the high-dimensional frame features are transformed to the lower dimensional ones, namely Frame to Exemplar Distance (FED) vector. Subsequently, a continuous HMM is trained using such FED vector sequences for learning and recognition. Experiments show the promising results.
关键词	Exemplar FED vector HMM Lipreading
DOI	10.1109/CIS.2014.74
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84922844774
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6460
专题	北师香港浸会大学
作者单位	1.Department of Computer Science and Technology,Huaqiao University,Xiamen,China 2.Department of Computer Science,Hong Kong Baptist University,Hong Kong 3.United International College,BNU,HKBU,Zhuhai,China
推荐引用方式 GB/T 7714	Liu，Xin,Cheung，Yiu Ming. An exemplar-based hidden markov model with discriminative visual features for lipreading[C], 2015: 90-93.