Keita Okutani

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About

Keita Okutani is a pioneering researcher in the field of outdoor auditory scene analysis, with a focus on integrating acoustic sensing with aerial robotics. His work centers on developing microphone-array systems mounted on quadrocopters—unmanned aerial vehicles—to perform robust sound source localization in challenging, real-world environments. Okutani’s major contribution lies in demonstrating that moving microphone arrays on drones can effectively capture and analyze outdoor sounds, overcoming obstacles like dynamic noise and wind interference. His most-cited paper, "Outdoor auditory scene analysis using a moving microphone array embedded in a quadrocopter" (2012, 95 citations), is a foundational work that shows how drones can rapidly and widely search for sound sources, with practical applications such as locating distressed individuals in disaster zones. This research has significant implications for emergency response, surveillance, and environmental monitoring. Additionally, his follow-up work on incremental noise estimation (2013) addresses the critical challenge of adapting to loud, fluctuating outdoor noise, further refining the technology’s reliability. Okutani’s innovative fusion of robotics and acoustic signal processing has opened new avenues for autonomous auditory sensing, making him a key figure in this emerging interdisciplinary field.