Emotion recognition and its application to computer agents with spontaneous interactive capabilities

Abstract

In this paper, we first study the recognition of emotions involved in human speech. We propose an emotion recognition algorithm based on a neural network and also propose a method to collect a large speech database that contains emotions. We carried out emotion recognition experiments based on the neural network trained using this database. An emotion recognition rate of approximately 50% was obtained in a speaker-independent mode for eight emotion states.