Host: Japan Society for Fuzzy Theory and Intelligent Informatics
Co-host: International Fuzzy Systems Association, IEEE Computational Intelligence Society Japan Chapter
It is thought that the person's state of the brain function can be evaluated by analyzing the utterance voice by a chaos theory method. Our analytical algorithm "SiSECA" shows us that voice signal has not only chaotic behavior but random. Using to measure the level of complexity or disturbance of state of voice signal by SiCECA, it is possible to observe the changes in the mental status of a speaker from the changes in the chaoticity of the speaker's voice. Like the variations in the fist Lyapunov exponents, the variations of CEM are strongly related to the mental and physical status of speakers. This article mainly focus in the aspect of uttered voice chaoticity "disturbance" by aging.
