Information fusion in biometrics
Pattern Recognition Letters - Special issue: Audio- and video-based biometric person authentication (AVBPA 2001)
Fast features for face authentication under illumination direction changes
Pattern Recognition Letters
Improving a GMM speaker verification system by phonetic weighting
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 01
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In this paper we propose a multifactor hybrid fusion approach for enhancing security in audio-visual speaker verification. Speaker verification experiments conducted on two audiovisual databases, VidTIMIT and UCBN, show that multifactor hybrid fusion involve a combination feature-level fusion of lip-voice features and face-lip-voice features at score-level is indeed a powerful technique for speaker identity verification, as it preserves synchronisation. of the closely coupled modalities, such as face, voice and lip dynamics of a speaker during speech, through various stages of authentication. An improvement in error rate of the order of 22-36% is achieved for experiments by using feature level fusion of acoustic and visual feature vectors from lip region as compared to classical late fusion approach.