Akinobu Lee
Papers
4
Total Citations
38
H-Index
4
About
Akinobu Lee is a leading researcher in hands-free speech interaction and spoken dialogue systems for robotics, with a focus on enabling natural, unconstrained communication between humans and autonomous machines. His foundational work on "Talker Tracking Display On Autonomous Mobile Robot With A Moving Microphone Array" (2002, 14 citations) pioneered techniques for robust sound source localization under reverberant conditions, directly addressing the core challenge of speech capture in real-world robotic environments. Lee further advanced the field by applying voice activity detection (VAD) to hands-free spoken dialogue robots, as detailed in his 2007 work (12 citations), where he integrated acoustic and language models to improve speech recognition without requiring users to wear microphones. His recent contributions include "Spoken Dialogue Technology for Semi-Autonomous Cybernetic Avatars" (2024, 4 citations), which explores next-generation conversational AI for teleoperated and autonomous avatars. With a career spanning over two decades, Lee’s research has been instrumental in bridging the gap between laboratory speech recognition and practical, user-friendly robotic interfaces, making him a key figure in the evolution of human-robot communication.
Research Focus
Key Achievements
Top Papers
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- 4Spoken Dialogue Technology for Semi-Autonomous Cybernetic Avatars4 citations · 2024