Emotional Speech Recognition toward Modulating the Behavior of a Social Robot

摘要

The effectiveness of human-robot interaction depends on the capacity of a robot to modulate its behaviour according to human emotion(s). This work presents preliminary results regarding a Behaviour Modulation System (BeMoSys) implementable on a social robot with a capacity for emotional speech recognition based on signal-processing followed by machine-learning techniques.