Emotion Recognition Module for Mascot Robot System

Abstract

Emotion Recognition Module from speech is proposed for Mascot Robot System to communicate with human being using speech content and minimum, maximum, and average fundamental frequency of each speech. It provides 6 output categories about speaker emotions which are employed for input of Eye Robot. Communication experimental results of the proposed module applied to Eye Robot show that the system communicates with user considering user's emotion and that recognition accuracy is 88%. The system is applied to Mascot Robot System which acts as information terminal in household environment.