Study Of The Nonlinear Dynamics Method. Voiceprint Analysis

In the Information Age some characters of our bodies will be our unique identification. This technique is called biological statistic recognition, which automatically recognize the personal identity based on the unique physiological character. Speech recognition system is the most complex among all the biological statistic systems.Usually linear techniques such as spectrum analysis were used to analyze the speech signal. As these traditional linear techniques are merely applicable to the steady, coherent and balanced linear time series, they generally ignored the most important information, which contained the essence of the unsteady, incoherent and unbalanced nonlinear time series of speech.A method is proposed in this paper, which use computation complexity to analyze the speech character. Computation complexity is a new nonlinear technique different from current analysis method for speech character. We find in a 2D embedded space the computation complexity for speech character of individual testee differs with others even if testees speak the same sentences. This character like dactylogram can be used in modern communication system for information security. We conclude that this analysis method for tone texture can be applied to analyze speech character and this technique has wide application prospect.