Sun-Ah Hong
Papers
1
Total Citations
2
H-Index
1
About
Sun-Ah Hong is a researcher whose work lies at the intersection of robotics and acoustic signal processing, with a particular focus on sound source localization for human-robot interaction. Her key research areas include real-time audio processing, time-delay estimation, and efficient implementation of signal transforms for robotic perception systems. Hong’s most notable contribution is her work on optimizing the Inverse Fast Fourier Transform (IFFT) and Fast Fourier Transform (FFT) for Phase Transform (PHAT) weighting in sound source localization systems. This research addressed a critical challenge in service robotics: accurately estimating the direction of a human voice using only a few microphones. By computing cross-correlation to calculate time delays between microphone pairs, her approach enabled robots to more effectively locate and respond to human speakers in real-world environments. While her 2009 paper has garnered 2 citations, its practical significance lies in advancing the efficiency of auditory processing for autonomous systems. Hong’s work remains relevant for researchers developing low-latency, computationally efficient solutions for robot audition and spatial hearing in interactive robotics.
Research Focus
Key Achievements
Top Papers
- 1