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EURASIP Journal on Advances in Signal Processing
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Talking-Face Identity Verification, Audiovisual Forgery, and Robustness Issues

EURASIP Journal on Advances in Signal Processing volume 2009, Article number: 746481 (2009) Cite this article

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.

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Authors and Affiliations

  1. Computer Science Department, University of Balamand, 100 El-Koura, Lebanon

    Walid Karam & Chafic Mokbel

  2. SAMoVA Team, IRIT-UMR 5505, CNRS, 5505, Toulouse, France

    Hervé Bredin

  3. Mathematics Department, University of Balamand, 100 El-Koura, Lebanon

    Hanna Greige

  4. TSI, Ecole Nationale Supérieure des Télécommunications, 46 rue Barrault, 75634, Paris, France

    Gérard Chollet

Authors
  1. Walid Karam
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  2. Hervé Bredin
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  3. Hanna Greige
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  4. Gérard Chollet
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  5. Chafic Mokbel
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Corresponding author

Correspondence to Walid Karam.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Karam, W., Bredin, H., Greige, H. et al. Talking-Face Identity Verification, Audiovisual Forgery, and Robustness Issues. EURASIP J. Adv. Signal Process. 2009, 746481 (2009). https://doi.org/10.1155/2009/746481

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  • DOI: https://doi.org/10.1155/2009/746481

Keywords

  • Face Image
  • Audio Signal
  • Transformation Technique
  • Identity Verification
  • Facial Animation