Implementation of speech Emotion Recognition SVM kernel using MATLAB

Speech emotion recognition is a very important speech technology. an extensive research is made by using different speech information and signal for human emotion recognition. We develop a speech-based emotion classification method using SVM by using standard EMA database. In order to achieve a high emotion classification accuracy we have used SVM with kernel functions From result obtained by using different kernels functions . From result we conclude that RBF Kernel function in which we got 94.96% 96.02% 98.96% 98.76% accuracy results for Angry Happy Neutral Sad emotions respectively using energy formant and MFCC features. Our result shows that classification accuracy will be improve using kernel functions.