关键词: 多重分形, Hurst指数, 语音情感, 情感识别

Abstract: In order to overcome the inadequate 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 generalizes hurst index as emotional conventional parameters, combines with traditional voice acoustic features and using Support Vector Machine（SVM） for speech emotion recognition. The results show that the accuracy and stability of the recognition system are improved effectively through using non-linear parameters, compared with the linear features of traditional voice recognition method, so it provides a new idea for voice emotion recognition.

Key words: multifractal, Hurst exponents, emotion speech, emotion recognition