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About

Byoungho Kwon is a researcher specializing in acoustic signal processing and robot auditory systems, with a particular focus on sound source localization. His work centers on developing and refining techniques for estimating the Time Difference of Arrival (TDOA) of acoustic signals using microphone arrays, a foundational challenge in enabling robots and automated systems to perceive and interpret their sonic environments. Kwon's most significant contribution lies in his extensive analysis and advancement of the Generalized Cross-Correlation Phase Transform (GCC-PHAT) technique, particularly for complex scenarios involving multiple simultaneous sound sources. His 2010 analysis of GCC-PHAT for multiple sources stands as his most influential work, accumulating 46 citations and offering critical insights into a widely used localization method. Building on this, he developed the spatially mapped GCC framework, which enhances localization accuracy in three-dimensional space using multi-microphone configurations. A practical thread runs throughout his research: Kwon consistently addresses real-world implementation challenges, such as obstacles interrupting direct sound paths in robot platforms and the computational demands of deployment in live systems. His cumulative body of work, spanning from 2007 to 2010, has earned nearly 100 citations and remains a meaningful reference for researchers working in robot audition, teleconferencing, surveillance, and speech recognition technologies.