Jun Hyung Kim
Papers
2
Total Citations
3
H-Index
1
About
Jun Hyung Kim is an emerging researcher in acoustic signal processing, with a focused expertise in sound source localization for intelligent robotic systems. His work primarily addresses the challenging problem of enabling robots, particularly robotic vacuum cleaners, to accurately perceive and locate sound sources in real-world environments despite significant ego-noise interference. Kim’s major contributions include the development of a real-time sound source localization system using microphone arrays, designed specifically to overcome the strong self-generated noise of robotic vacuum cleaners—a critical step toward more responsive and interactive smart home appliances. He has also advanced the field of multiple sound source localization by integrating singular value decomposition (SVD) with phase transform and adaptive time-varying (PHAT-ATV) filters on blind source separation frameworks, improving the accuracy of convolutional beamformers. Though early in his career, with his most cited works accumulating citations in 2024, Kim’s research is already shaping the next generation of voice-controlled home robots. His work bridges the gap between theoretical acoustic algorithms and practical, noise-robust implementations, making him a promising contributor to the future of human-robot interaction.
Research Focus
Key Achievements
Top Papers
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- 2