Optimization method of speech emotion recognition

Abstract

The invention relates to an optimization method of speech emotion recognition. At present, speech is a tool for communication between people and for thinking and feeling expression; in order to achieve the purpose that a computer can communicate with humans as people, speech emotion recognition gradually becomes a research hot spot in the field of intelligent human-computer interaction; and in China, the research starts relatively late, and a correction rate of the speech emotion recognition is also quite low. The optimization method comprises the following steps: firstly, taking Berlin data set and Mandarin Emotional Speech Database of Chinese Academy of Sciences as speech database of emotion recognition, wherein the speech database includes five emotional speeches, namely happiness, anger, fear, sadness and calm, and recognizing the five emotional speeches so as to select out a test set and a training set; then, implementing characteristic parameter signal extraction on the five emotional speeches, and obtaining SVM kernel parameters from extracted characteristic parameter signals by virtue of a method combining Fisher criteria and the principle of maximum entropy; then, training an SVM by virtue of the SVM kernel parameters; and finally, recognizing speech emotion signals by virtue of kernel parameters which are optimized by the SVM.

Description

Technical field: [0001] The invention relates to a preferred method for speech emotion recognition. Background technique: [0002] At present, speech is a bridge between people and a tool for expressing thoughts and emotions. In order to enable computers to communicate with humans like humans, speech emotion recognition has gradually become a research hotspot in the field of intelligent human-computer interaction. Foreign scholars aim at this A lot of research has been done, such as the emotional robot researched by the MIT laboratory of the Massachusetts Institute of Technology, the blue eye project of IBM, and a flower that can perceive human emotions developed by NEC. Research has laid a good foundation. [0003] In China, this research started relatively late, and the correct rate of speech emotion recognition is relatively low, but the technology in speech emotion recognition is constantly catching up with the world's technological frontier. At present, there is an urg...

AI Technical Summary

Problems solved by technology

[0003] China started relatively late in this research, and the correct rate of speech emotion recognition is relatively low, but the technology in speech emotion recognition is constantly catching up with the world's technological frontier, and a better method for selecting relevant parameters is urgently needed to solve speech emotion. to improve the recognition rate

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