A NOVEL METHOD FOR MULTIPLE SOUND SOURCES LOCALIZATION WITH LOW COMPLEXITY
Nguyen Trung HIEU, Kou YAMADA
DOI: 10.15598/aeee.v23i3.240708
Abstract
Sound source localization is essential in many areas such as robotics interaction, teleconferencing, sound extraction and recognition, noise cancellation in vehicles, object location detection, assessment of noise pollution in living spaces, and search and rescue. Interaction in natural settings requires the detection of different sources of sounds from the environment. Accurately detecting and differentiating incoming sound directions always attracts attention and has been researched using various methods. However, most of these methods still require complex algorithms or large amounts of calculations, which are accompanied by the cost of hardware and system resources. In this paper, we present a novel method and metrics for estimating the direction of multiple sound sources based on a combination of beamforming, time difference of arrival (TDOA), and frequency sparsity. Our new proposals are well-suited for deployment on resource-limited devices, offering reduced processing complexity, short computation time, and real-time response.