Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (3): 5-8.

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Recognition and Study of Pathological Voices Based on NonlinearDynamics Using GMM

GAO Jun-fen, HU Wei-ping   

  1. College of Electronic Engineering,Guangxi Normal University,Guilin Guangxi 541004,China
  • Received:2011-06-04 Online:2011-08-20 Published:2018-12-03

Abstract: The method of nonlinear dynamics analysis is used to quantitatively analyze and extractthe normal and pathological voice of the 5-dimensional nonlinear feature,Hurstparameter,Shannon entropy,box dimension,Kolmogorov entropy and correlation dimension.The data is from the clinical cases of 151 patients and the pattern recognition method of Gaussian mixture model is used to evaluate the validity of the parameters extracted by the method of nonlinear dynamics.Experimental results showthat this method can compensate for the deficiencyof traditional methods,and achievea better recognition rate of 96.05%.

Key words: nonlinear dynamics, GMM, chaos theory, pathological voices

CLC Number: 

  • TP181
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