In real-world auditory scene analysis of human-robot interactions, three types of information are essential and need to be extracted from the observation data – who speaks
. We present a speaker diarization system that is used to accomplish the resolution. Multiple signal classification (MUSIC) is a powerful method for voice activity detection (VAD) and direction of arrival (DOA) estimation. We propose our system and compare its performance in VAD and DOA with the method based on MUSIC algorithm.