Hyung Soon Kim

Papers

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About

Hyung Soon Kim is a researcher whose work lies at the intersection of acoustic signal processing, robotics, and embedded systems. His primary research areas include sound source localization, robust speech recognition, and real-time audio processing for human-robot interaction. Kim’s major contributions center on developing practical, hardware-accelerated systems that enable robots to perceive and understand their auditory environment. His most cited work, "Real-time sound source localization system based on FPGA" (2008, 19 citations), presents a pioneering approach that uses field programmable gate arrays to achieve rapid, accurate direction-of-arrival estimation from multiple microphones—a critical capability for robots navigating noisy, dynamic spaces. Additionally, his research on "Speech/Music Discrimination for Robust Speech Recognition in Robots" (2007, 5 citations) addresses a fundamental challenge in service robotics: distinguishing human speech from background music to improve automatic speech recognition performance in real-world environments. By focusing on hardware-efficient solutions and robust preprocessing, Kim has contributed foundational techniques that bridge the gap between theoretical signal processing and practical deployment in autonomous systems. His work continues to inform developments in auditory scene analysis and intelligent human-robot communication.