TY - GEN
T1 - A multi-boosted HMM approach to lip password based speaker verification
AU - Liu, Xin
AU - CHEUNG, Yiu Ming
PY - 2012
Y1 - 2012
N2 - This paper presents a multi-boosted Hidden Markov Model (HMM) approach to lip password (i.e. the password embedded in the lip motion) based speaker verification, where the speaker is verified by both of lip password and the underlying characteristics of lip motions. That is, the target speaker saying the wrong password or an impostor even knowing the correct password will be detected as well. To this end, we firstly propose an effective lip motion segmentation algorithm to segment the password sequence into a small set of discrete subunits. Then, we integrate HMMs with boosting learning framework associated with the random subspace method (RSM) and data sharing scheme (DSS) to model the segmental sequence of the input subunit discriminatively so that a precise decision boundary is formulated for these subunits verification. Finally, the speaker is verified based on all verification results of the subunits learned from multi-boosted HMMs. Experimental results show the promising results.
AB - This paper presents a multi-boosted Hidden Markov Model (HMM) approach to lip password (i.e. the password embedded in the lip motion) based speaker verification, where the speaker is verified by both of lip password and the underlying characteristics of lip motions. That is, the target speaker saying the wrong password or an impostor even knowing the correct password will be detected as well. To this end, we firstly propose an effective lip motion segmentation algorithm to segment the password sequence into a small set of discrete subunits. Then, we integrate HMMs with boosting learning framework associated with the random subspace method (RSM) and data sharing scheme (DSS) to model the segmental sequence of the input subunit discriminatively so that a precise decision boundary is formulated for these subunits verification. Finally, the speaker is verified based on all verification results of the subunits learned from multi-boosted HMMs. Experimental results show the promising results.
KW - Lip Motion
KW - Lip Password
KW - Multi-boosted HMMs
KW - Speaker Verification
UR - http://www.scopus.com/inward/record.url?scp=84867603020&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2012.6288349
DO - 10.1109/ICASSP.2012.6288349
M3 - Conference proceeding
AN - SCOPUS:84867603020
SN - 9781467300469
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 2197
EP - 2200
BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Y2 - 25 March 2012 through 30 March 2012
ER -