Talking-Face Identity Verification, Audiovisual Forgery, and Robustness Issues. (24th May 2009)

• Record Type: Journal Article
• Authors: Karam Karam, Walid Walid; Bredin Bredin, Hervé Hervé; Greige Greige, Hanna Hanna; Chollet Chollet, Gérard Gérard; Mokbel Mokbel, Chafic Chafic
• Other Names: Bowyer Bowyer Kevin Kevin Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2009(2009)
• Publication Date: 2009-05-24
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2009/746481
• Languages: English
• ISSNs: 1687-6172

Abstract

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.