Papers
5
Total Citations
29
H-Index
4
About
Nobutaka Ono is a leading researcher in audio signal processing for robotic audition, with a specialized focus on disaster response robotics. His primary research areas include ego-noise reduction, sound source localization, and human-voice enhancement for rescue robots operating in challenging acoustic environments. Ono’s most significant contributions center on developing advanced noise reduction systems for hose-shaped rescue robots—flexible, snake-like devices designed to navigate rubble and confined spaces after earthquakes. He pioneered a two-stage human-voice enhancement system that combines independent vector analysis with multichannel noise cancellation, achieving low-latency, high-quality speech extraction despite intense vibration motor noise. His work on determined rank-1 multichannel nonnegative matrix factorization and independent low-rank matrix analysis has set benchmarks for ego-noise suppression, enabling these robots to reliably capture victims’ voices. With over 30 citations across his top papers, Ono’s research directly addresses a critical challenge in search-and-rescue: distinguishing human speech from the robot’s own mechanical noise. His innovations have practical implications for saving lives in disaster scenarios, and his methods are foundational for next-generation robotic audition systems. Ono’s work exemplifies how signal processing can bridge the gap between robotic mobility and acoustic intelligence in extreme environments.
Research Focus
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Top Papers
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