广西师范大学学报（自然科学版）2011，Vol.29Issue(3)：5-8,4.
基于非线性动力学和GMM的病态嗓音识别与研究
Recognition and Study of Pathological Voices Based on Nonlinear Dynamics Using GMM
摘要
Abstract
The method of nonlinear dynamics analysis is used to quantitatively analyze and extract the normal and pathological voice of the 5-dimensional nonlinear feature,Hurst parameter,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 show that this method can compensate for the deficiency of traditional methods,and achieve a better recognition rate of 96.05%.关键词
非线性动力学/GMM/混沌理论/病态嗓音Key words
nonlinear dynamics/GMM/chaos theory/pathological voices分类
信息技术与安全科学引用本文复制引用
高俊芬,胡维平..基于非线性动力学和GMM的病态嗓音识别与研究[J].广西师范大学学报（自然科学版）,2011,29(3):5-8,4.基金项目
广西自然科学基金资助项目(2010GXNSFA013128) （2010GXNSFA013128）
