Localization of multiple sound sources based on subtraction of accumulated inter-channel correlation
Kook Cho, Takanobu Nishiura, Yoichi Yamashita · 2010
The sound source localization plays an important role for extracting the target sound. In this paper we describe the localization of multiple sound sources using a distributed microphone system that is a recording system with multiple microphones dispersed to a wide area. Our algorithm localizes a sound source by finding the position that maximizes the accumulated correlation coefficient between multiple channel pairs. After the estimation of the first sound source, a typical pattern of the accumulated correlation for a single sound source is subtracted from the observed distribution of the accumulated correlation. Subsequently, the second sound source is localized by finding the maximum correlation again. To evaluate the effectiveness of the proposed method, experiments of multiple sound source localization were carried out in an actual office room. The result shows that average error distances of the multiple sound sources are less than 13.7cm. Our localization algorithm could realize the multiple sound source localization robustly and stably.