Learning multi-boosted HMMs for lip-password based speaker verification

doi:10.1109/TIFS.2013.2293025

科研成果详情

题名	Learning multi-boosted HMMs for lip-password based speaker verification
作者	Liu，Xin 1,2; Cheung，Yiu Ming 2,3
发表日期	2014
发表期刊	IEEE Transactions on Information Forensics and Security
ISSN/eISSN	1556-6013
卷号	9 期号:2 页码:233-246
摘要	This paper proposes a concept of lip motion password (simply called lip-password hereinafter), which is composed of a password embedded in the lip movement and the underlying characteristic of lip motion. It provides a double security to a visual speaker verification system, where the speaker is verified by both of the private password information and the underlying behavioral biometrics of lip motions simultaneously. Accordingly, the target speaker saying the wrong password or an impostor who knows the correct password will be detected and rejected. To this end, we shall present a multi-boosted Hidden Markov model (HMM) learning approach to such a system. Initially, we extract a group of representative visual features to characterize each lip frame. Then, an effective lip motion segmentation algorithm is addressed to segment the lip-password sequence into a small set of distinguishable subunits. Subsequently, we integrate HMMs with boosting learning framework associated with a random subspace method and data sharing scheme to formulate a precise decision boundary for these subunits verification, featuring on high discrimination power. Finally, the lip-password, whether spoken by the target speaker with the pre-registered password or not, is identified based on all the subunit verification results learned from multi-boosted HMMs. The experimental results show that the proposed approach performs favorably compared with the state-of-the-art methods. © 2005-2012 IEEE.
关键词	data sharing scheme lip motion segmentation Lip-password multi-boosted HMMs random subspace method
DOI	10.1109/TIFS.2013.2293025
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84893385243
引用统计	被引频次：32[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6500
专题	北师香港浸会大学
作者单位	1.Department of Computer Science and Technology,Huaqiao University,Fujian 361021,China 2.Department of Computer Science,Hong Kong Baptist University,Hong Kong,Hong Kong 3.United International College,Beijing Normal University,Hong Kong Baptist University,Zhuhai 200086,China
推荐引用方式 GB/T 7714	Liu，Xin,Cheung，Yiu Ming. Learning multi-boosted HMMs for lip-password based speaker verification[J]. IEEE Transactions on Information Forensics and Security, 2014, 9(2): 233-246.
APA	Liu，Xin, & Cheung，Yiu Ming. (2014). Learning multi-boosted HMMs for lip-password based speaker verification. IEEE Transactions on Information Forensics and Security, 9(2), 233-246.
MLA	Liu，Xin,et al."Learning multi-boosted HMMs for lip-password based speaker verification". IEEE Transactions on Information Forensics and Security 9.2(2014): 233-246.