Identity Verification robustness to audiovisual imposture

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 or multiple biometric modalities typically face and voice. In this paper, we evaluate the effects of transforming both the face and the voice of a speaker on an IV system. Results of imposture experiments on the BANCA talking-face database show an increase in the error rate of the audiovisual IV system, which indicates a higher acceptance rate of the claimed identities. Results are reported on transformation of the speech and visual signals (MixTrans for speech, and TPS warping animation for face) For both types of forgeries, the verification system accepted more impostors.