Emotion recognition using multilayer perceptron and generalized feed forward neural network

Abstract

This paper explores performance analysis of multilayer perceptron neural network (MLPNN) and generalized feed forward neural network (GFFNN) for detection of 7 human emotions (neutral, anger, boredom, disgust, fear, happiness, sadness) using speech signals. Overall accuracy was found as follows: MLPNN, 93%; and GFFNN, 99%.s