Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/407
Title: Audio-Visual Identity Verification and Robustness to Imposture
Authors: Karam, Walid 
Mokbel, Chafic 
Greige, Hanna 
Chollet, Gérard
Affiliations: Department of Computer Engineering 
Department of Electrical Engineering 
Department of Mathematics 
Keywords: Identity verification
Audio-visual forgery
Talking-face imposture
Voice conversion
Face animation
Biometric verification robustness
Issue Date: 2009
Part of: M. Tistarelli, M. Nixon (Eds), Advances in biometrics. Switzerland: Springer.
Start page: 796
End page: 805
Conference: IEEE International Conference on Biometrics (ICB 2009) (3rd : 2-5 June 2009 : Alghero, Italy) 
Abstract: 
The robustness of talking-face identity verification (IV) systems is best evaluated by monitoring their behavior under impostor attacks. We propose a scenario where the impostor uses a still face picture and a sample of speech of the genuine client to transform his/her speech and visual appearance into that of the target client. We propose MixTrans, an original text-independent technique for voice transformation in the cepstral domain, which allows a transformed audio signal to be estimated and reconstructed in the temporal domain. We also propose a face transformation technique that allows a frontal face image of a client to be animated, using principal warps to deform defined MPEG-4 facial feature points based on determined facial animation parameters. The robustness of the talking-face IV system is evaluated under these attacks. Results on the BANCA talking-face database clearly show that such attacks represent a serious challenge and a security threat to IV systems.
URI: https://scholarhub.balamand.edu.lb/handle/uob/407
Ezproxy URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Computer Engineering

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