Seung Seob Yeom

Korea Institute of Science and Technology, Yonsei University

Papers

Total Citations

H-Index

About

Seung Seob Yeom is a researcher whose work sits at the intersection of robotics, embedded systems, and speech processing, with a particular focus on enabling robots to hear and locate sounds in real-world environments. His major contributions center on the DSP (Digital Signal Processor) implementation of sound source localization algorithms, a critical capability for service robots operating in dynamic, human-centric spaces. Yeom’s research addresses the practical challenge of making auditory perception both accurate and computationally efficient for embedded platforms. His most cited work, "DSP implementation of sound source localization with gain control" (2007, 9 citations), tackles the problem of robust localization by integrating optimal gain control to handle varying acoustic conditions, a system designed for deployment on prototype robots at the Korea Institute of Science and Technology (KIST). A subsequent paper (2008, 7 citations) advanced this by implementing a probabilistic approach to sound localization, using Time Delay of Arrival (TDOA) via cross-correlation—a method that, while effective, is sensitive to environmental noise. Though his citation counts are modest, Yeom’s work represents foundational engineering for integrating auditory perception into autonomous systems, bridging the gap between theoretical algorithms and real-time robotic applications.