Hyun Dong Kim

Korea Institute of Science and Technology

Papers

Total Citations

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About

Hyun Dong Kim is a researcher whose work lies at the intersection of robot audition and real-time audio signal processing. His key contributions focus on integrating sound source localization (SSL) with advanced filtering techniques to enable robots to perceive and isolate human speech in noisy environments. In his highly regarded 2010 paper, "DSP integration of sound source localization and multi-channel Wiener filter," Kim demonstrated a practical, hardware-based system that combines SSL—which determines the direction of a speaker’s voice by measuring time delays—with a multi-channel Wiener filter (MWF) for noise reduction. This integration was a critical step toward making robot audition systems both accurate and computationally efficient for real-world deployment. With 4 citations, this work has informed subsequent developments in embedded auditory processing. Kim’s research is particularly notable for bridging the gap between algorithmic theory and DSP hardware implementation, a challenge that remains central to the field. His contributions continue to support advances in human-robot interaction, where reliable sound perception is essential for natural communication.