Hironori Nakajima
Papers
5
Total Citations
102
H-Index
4
About
Hironori Nakajima is a leading researcher in robot audition, specializing in sound source tracking, separation, and ego-noise estimation for robots operating in real-world environments. His work focuses on enabling robots to robustly perceive and interpret auditory information amidst dynamic and noisy surroundings. Nakajima’s major contributions include developing methods for tracking multiple sound sources by integrating room and robot microphone arrays, a technique that allows robots to distinguish between human speech and loudspeaker sounds—critical for effective human-robot communication. His research on Geometric Source Separation (GSS) provides high-performance sound source separation that adapts to changing environmental noises, requiring low computational power. Additionally, Nakajima has advanced ego-noise estimation, addressing the challenge of separating a robot’s own motor and fan noise from ambient sounds. His most cited paper, “Robust Tracking of Multiple Sound Sources by Spatial Integration of Room And Robot Microphone Arrays” (2006), has garnered 47 citations, underscoring its impact. With over 100 total citations across his key works, Nakajima’s innovations in auditory perception are foundational for creating robots that can interact naturally and effectively in everyday settings.
Research Focus
Key Achievements
Top Papers
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- 4Assessment of single-channel ego noise estimation methods6 citations · 2011
- 5Assessment of single-channel ego noise estimation methods2 citations · 2011