Byoung-gi Lee

Korea Institute of Science and Technology

Papers

Total Citations

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About

Byoung-gi Lee is a researcher whose work lies at the intersection of robotics and auditory perception, focusing on how machines can intelligently process sound in complex environments. His primary research areas include sound source localization, audio-video integration, and multi-source auditory scene analysis. Lee’s major contributions involve developing robust methods for robots to locate human speakers amidst real-world challenges like reverberation and competing noise. Notably, his 2010 paper on using visual information to aid sound localization in reverberant spaces (12 citations) pioneered a multimodal approach, enhancing robotic responsiveness during human interaction. He further advanced the field with his work on multi-source localization using competitive k-means clustering (8 citations), addressing the common problem of multiple simultaneous speakers. Lee also demonstrated practical engineering skill by integrating sound source localization with a multi-channel Wiener filter on a DSP system (4 citations), creating a compact, real-time robot audition module. Though his citation counts are modest, his focused contributions to early robot audition systems—particularly in enabling natural human-robot communication through robust sound perception—represent foundational steps in creating socially aware machines.