Emotion Recognition in Speech Using Multi-classification SVM

In order to improve the accuracy of emotion recognition in speech effectively, this paper proposes an emotion recognition algorithm based on SVM classification algorithm. Firstly, we use the SVM multi-class classification algorithm to optimize the parameters of penalty factor and kernel function. Then we use the optimized parameters to realize emotion recognition. Finally we obtain the accuracy of each kind of emotion using the Chinese emotional data set, using a variety of multi classification algorithm based on SVM. The emotion recognition can reach the highest rate of 96.00%.