Model based abnormal acoustic source detection using a microphone array

This paper proposes the model based detection method of abnormal acoustic source using a microphone array. General source location algorithm using a microphone array can be used to locate a dominant acoustic source, while this does not verify whether the detected source is permitted one or not on outdoor environments. It is difficult to discern it among a natural environmental sound. Thus, to cope with this problem, we propose the out-of-normal acoustic rejection method based on N-best likelihood ratio test using natural environmental sound models. In order to evaluate the proposed algorithm, a real-time DSP was constructed, and experimental evaluation is described.