NDLI: Feature Extraction From Talking Mouths for Video-Based Bi-Modal Speaker Verification

Content Provider	IEEE Xplore Digital Library
Author	Ouyang, H. Tan Lee Chan, W.N.
Copyright Year	2006
Description	Author affiliation: Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin (Ouyang, H.; Tan Lee; Chan, W.N.)
Abstract	As the low-cost video transmission becomes popular, video-based bi-modal (audio and visual) authentication has great potential in various applications that require access control over handheld terminals. In this paper, we propose to use the averaged mouth image (AMI) for speaker verification. The AMI is computed by averaging properly aligned mouth images over the whole video sequence. Despite its simplicity, the AMI not only contains appearance information but also describes stylistic articulation gestures of individual speakers. The AMI is found to be fairly invariant against the spoken content. The experimental results show that the AMI based features are very effective in discriminating speaking persons. Explicit and precise extraction of lip contours or other feature points are not required. For bi-modal verification, the proposed video features are found to be highly complementary to the audio features
Sponsorship	The Inst. of Electr. and Electron. Eng., Inc. Circuits and Syst. Soc. (IEEE CASS)
File Size	371833
File Format	PDF
ISBN	142440469X
ISSN	15206149
DOI	10.1109/ICASSP.2006.1661325
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-14
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Mouth Ambient intelligence Lips Authentication Face recognition Access control Video sequences Data mining Biometrics
Content Type	Text
Resource Type	Article

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