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Human-Robot Interaction in Real Environments by Audio-Visual Integration

In this paper, we developed not only a reliable sound localization system including a VAD (Voice Activity Detection) component using three microphones but also a face tracking system using a vision camera. Moreover, we proposed a way to integrate three systems in the human-robot interaction to compensate errors in the localization of a speaker and to reject unnecessary speech or noise signals entering from undesired directions effectively. For the purpose of verifying our system's performances, we installed the proposed audio-visual system in a prototype robot, called IROBAA (Intelligent ROBot for Active Audition), and demonstrated how to integrate the audio-visual system.