长沙理工大学学报：自然科学版2011，Vol.8Issue(2)：67-71,5.
基于MF-DFA的语音情感识别
Speech emotion recognition based on MF-DFA
摘要
Abstract
In order to overcome the inadequacy of emotional conventional linear argument at depicting different types of character sentiments,this paper takes the multiple fractals theory into the sound emotional identify,by analyzing the multiple fractal features on the different sound emotional state, and proposes multifractal spectrum parameters and generalized hurst index as emotional conventional parameters, combined with traditional voice acoustic features and using support vector machine （SVM） for speech emotion recognition. The resuits show that the accuracy and stability of the recognition system are ira. proved effectively through using non-linear parameters, compared with using the linear features of traditional voice recognition method. It provides a new idea for voice emotion recognition.关键词
多重分形/Hurst指数/语音情感/情感识别Key words
multifractal/Hurst exponents/emotion speech/emotion recognition分类
计算机与自动化引用本文复制引用
叶吉祥,张密霞,龚希龄..基于MF-DFA的语音情感识别[J].长沙理工大学学报：自然科学版,2011,8(2):67-71,5.基金项目
湖南省自然科学基金重点资助项目 （）
