Emotion recognition and its application to computer agents with spontaneous interactive capabilities ?
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. We then tried to apply this emotion recognition algorithm to a computer agent that plays a character role in the interactive movie system we are developing. We propose to use emotion recognition as key technology for an architecture of the computer characters with both narrative-based and spontaneous interaction capabilities.
emotion recognition computer agent neural net