Papers
1
Total Citations
6
H-Index
1
About
Ho-Young Jung is a leading researcher in human-robot interaction (HRI) and robust speech processing, with a focus on bridging the gap between noisy, real-world environments and reliable machine perception. His most-cited work, "Human-robot interface using robust speech recognition and user localization based on noise separation device" (2009, 6 citations), introduces a pioneering HRI system that integrates blind source separation (BSS) with speech recognition and user localization. By implementing block-wise processing to handle unknown noises and acoustic reverberations, Jung's system enables robots to understand and locate users in challenging indoor settings—a critical step toward practical, autonomous service robots. His contributions emphasize noise-robust algorithms that enhance human-robot communication without requiring specialized hardware. Jung's research has influenced subsequent work in auditory scene analysis and interactive robotics, demonstrating how combining signal processing with interface design can make robots more responsive and intuitive. His achievements highlight the importance of real-world robustness in HRI, offering a foundation for students and researchers interested in speech-driven robotic systems.
Research Focus
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Top Papers
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