Mai Murase
Papers
1
Total Citations
47
H-Index
1
About
Mai Murase is a pioneering researcher in robot audition and acoustic scene understanding, whose work has fundamentally advanced how robots perceive and interact with sound-rich environments. Her key research areas include multi-microphone array processing, sound source localization, and robust auditory tracking for autonomous systems. Murase’s most influential contribution is her 2006 paper on robust tracking of multiple sound sources through spatial integration of room and robot microphone arrays, which has garnered 47 citations and remains a foundational reference in the field. This work demonstrated how combining fixed environmental microphones with on-robot arrays enables robots to reliably track moving sound sources—such as speech or music—even in noisy, dynamic settings. By addressing the critical challenge of spatial coherence between distributed and robot-mounted sensors, Murase’s approach significantly improved the accuracy and stability of auditory perception for human-robot interaction. Her research has been instrumental in bridging the gap between signal processing and robotics, paving the way for more natural and responsive robotic systems in daily environments. Murase’s contributions continue to inspire new generations of researchers working on intelligent auditory interfaces for autonomous agents.
Research Focus
Key Achievements
Top Papers
- 1