Audio-Visual Identity Verification and Robustness to Imposture

Abstract

The robustness of talking-face identity verification (IV) systems is best evaluated by monitoring their behavior under impostor attacks. We propose a scenario where the impostor uses a still face picture and a sample of speech of the genuine client to transform his/her speech and visual appearance into that of the target client. We propose MixTrans, an… (More)
DOI: 10.1007/978-3-642-01793-3_81

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