Jaiyoun Song

Pohang University of Science and Technology

Papers

Total Citations

H-Index

About

Jaiyoun Song’s research focuses on intelligent service robotics, with key contributions in robot architecture, human-robot interaction, and speech processing for autonomous guidance systems. Song is best known for developing the PHOPE robot, a pioneering intelligent building guide system that integrated face recognition, voice communication, navigation, and touch-pad interfaces into a cohesive architecture. This work, cited 4 times, laid foundational groundwork for indoor service robots designed to assist visitors in complex environments. In parallel, Song advanced robot speech recognition through the development of an advanced narrow speech channeling algorithm, which employed binary time-frequency masking to extract target speech from noisy, multi-source inputs. This innovation, cited 2 times, significantly improved the robustness of speech recognition for service robots operating in real-world acoustic settings. Song’s contributions demonstrate a commitment to making robots more perceptive and communicative, bridging the gap between hardware design and intelligent software. While citation counts are modest, the work represents early, formative steps in the evolution of interactive service robots, and Song’s integrated system approach continues to inform modern guidance robot development.