Speech Emotion Recognition Using Ensemble Classifiers

Abstract

Human emotions play vital role in everyday communal relations. Speech Emotion Recognition (SER) has numerous applications such as clinical studies, commercial applications, entertainment, computer games and audio surveillance. For online learning/teaching emotional state of student’s plays a crucial role. SER may help an instructor for developing the new strategies to manage student emotions in the classroom. Based on the motivations, the proposed work developed a SER system using Ensemble classifiers. Performance of the proposed ensemble techniques are tested under different noisy conditions and training rates. Thereafter, the accuracy of proposed techniques compared with traditional techniques.