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In this paper we show the potential of two new features as powerful anti-spoofing measures for face-voice person au-thentication systems. The features based on latent semantic analysis (LSA) and canonical correlation analysis (CCA), enhance the performance of the authentication system in terms of better anti-imposture abilities and guard against video(More)
In this paper, we describe an approach for an animated speaking face synthesis and its application in modeling impostor/replay attack scenarios for face-voice based speaker verification systems. The speaking face reported here learns the spatio-temporal relationship between speech acoustics and MPEG4 compliant facial animation points. The influence of(More)
Speaker identification experiments are performed with novel features representative of the glottal source waveform. These are derived from closed-phase analysis and inverse filtering. Source waveforms are segmented into two consecutive periods and normalised in prosody, forming so called source-frame feature vectors. Support-vector-machines are used to(More)
In this paper, we propose hybrid fusion of audio and explicit correlation features for speaker identity verification applications. Experiments were performed with the GMM based speaker models with a hybrid fusion technique involving late fusion of explicit cross-modal fusion features, with implicit eigen lip and audio MFCC features. An evaluation of the(More)