Dong-hyun Su

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About

Dong-hyun Su is a researcher whose work centers on acoustic signal processing for human-robot interaction, with a particular focus on sound source localization. His key contributions lie in developing efficient methods for service robots to detect and estimate the direction of human voices using microphone arrays. In his notable 2009 paper, "Efficient sound source localization method using region selection," Su introduced a technique that leverages time difference information from separate microphones, computing cross-correlation functions to improve directional accuracy while reducing computational load. Though his most cited work has garnered 4 citations, its practical significance in enabling robots to respond to human speech in real-world environments is considerable. Su's research addresses the critical challenge of making robotic hearing systems both reliable and computationally efficient, a prerequisite for natural human-robot communication. His work contributes to the broader fields of auditory robotics and intelligent systems, where precise sound localization is essential for applications ranging from assistive robots to autonomous navigation.