Study of Supply Vector Machine (SVM) for Emotion Recognition

Abstract This paper is mainly concerned with Speech Emotion Recognition. The main work is concerned with Supply Vector Machine (SVM) that allows training the desired data set from the databases. The Support Vector Machine (SVM) performs classification by finding the decision boundary also known as “hyperplane” that maximizes the margin between two different classes. The vectors that define the hyperplane are the support vectors.