TY - JOUR AU - Karam, Walid AU - Bredin, Hervé AU - Greige, Hanna AU - Chollet, Gérard AU - Mokbel, Chafic PY - 2009 DA - 2009/05/24 TI - Talking-Face Identity Verification, Audiovisual Forgery, and Robustness Issues JO - EURASIP Journal on Advances in Signal Processing SP - 746481 VL - 2009 IS - 1 AB - 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. SN - 1687-6180 UR - https://doi.org/10.1155/2009/746481 DO - 10.1155/2009/746481 ID - Karam2009 ER -