ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Liveness detection using cross-modal correlations in face-voice person authentication

Girija Chetty, Michael Wagner

In this paper we show the potential of two new features as powerful anti-spoofing measures for face-voice person authentication 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 replay attacks, which is a challenging type of spoof attack. Experiments conducted on 2 speaking-face databases, VidTIMIT and UCBN, show around 42% improvement in error rate with CCA features and 61% improvement with LSA features over feature-level fusion of face-voice feature vectors.


doi: 10.21437/Interspeech.2005-644

Cite as: Chetty, G., Wagner, M. (2005) Liveness detection using cross-modal correlations in face-voice person authentication. Proc. Interspeech 2005, 2181-2184, doi: 10.21437/Interspeech.2005-644

@inproceedings{chetty05_interspeech,
  author={Girija Chetty and Michael Wagner},
  title={{Liveness detection using cross-modal correlations in face-voice person authentication}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={2181--2184},
  doi={10.21437/Interspeech.2005-644}
}