Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2630
Title: Talking-Face Identity Verification, Audiovisual Forgery, and Robustness Issues
Authors: Karam, Walid 
Berdin, Herve
Greige, Hanna 
Chollet, Gérard
Mokbel, Chafic 
Affiliations: Department of Computer Engineering 
Department of Mathematics 
Department of Electrical Engineering 
Issue Date: 2009
Part of: EURASIP journal on advances in signal processing
Volume: 2009
Abstract: 
The robustness of a biometric identity verification (IV) system is best evaluated by monitoring its behavior under impostor attacks. Such attacks may include the transformation of one, many, or all of the biometric modalities. In this paper, we present the transformation of both speech and visual appearance of a speaker and evaluate its effects on the IV system. We propose MixTrans, a novel method for voice transformation. MixTrans is a mixture-structured bias voice transformation technique 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 speaker to be animated. This technique employs principal warps to deform defined MPEG-4 facial feature points based on determined facial animation parameters (FAPs). The robustness of the IV system is evaluated under these attacks.
URI: https://scholarhub.balamand.edu.lb/handle/uob/2630
Ezproxy URL: Link to full text
Type: Journal Article
Appears in Collections:Department of Computer Engineering

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