The survey of biometric methods and existing systems of identification and verification of individual is outlined in this paper. There are two types of analyzed data in biometric systems: static and dynamic. At that the accuracy of last ones strongly depends on psychophysiological state of a man. Therefore it is proposed to use the methods of speech processing for estimation of the current state of a speaker. As the instruments for speech processing were used the modules of parameterization of speech signal and semantic syntactic analysis developed in Speech Informatics Group of SPIIRAS. Besides the proposed model has a capability for combining with other types of biometric information.
Cite as: Ronzhin, A.L., Lee, I.V., Karpov, A.A., Skormin, V.A. (2004) Automatic estimation of human²s psychophysiological state by speech. Proc. 9th Conference on Speech and Computer (SPECOM 2004), 382-387
@inproceedings{ronzhin04b_specom,
author={Andrey L. Ronzhin and I. V. Lee and Alexey A. Karpov and V. A. Skormin},
title={{Automatic estimation of human²s psychophysiological state by speech}},
year=2004,
booktitle={Proc. 9th Conference on Speech and Computer (SPECOM 2004)},
pages={382--387}
}