Nonlinear dynamic characteristic analysis of speech for Chinese

Nonlinear dynamic method is used in studying Chinese spoken in normal speed) and the improved correlation dimension algorithm are made for the characterization of speech signal. The reconstructed phase space and correlation dimension curves of unvoiced fricative consonants and vowels are also given. It is found that the correlation dimension algorithm can distinguish fricative from vowel because of the different mechanism between them. And the study shows that it can provide information for distinguishing four basic tones in mandarin.