Chi‐Hao Lin

National Taiwan University of Science and Technology

Papers

Total Citations

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About

Chi-Hao Lin is a researcher whose work bridges the frontiers of auditory perception and probabilistic modeling, with a particular focus on advancing robotic sensing. His key research areas include computational auditory scene analysis, microphone array processing, and the development of algorithms that enable machines to interpret sound in unstructured environments. Lin’s most notable contribution, "Probabilistic Structure from Sound" (2009), introduced a novel framework for inferring the spatial configuration of microphones directly from audio signals, eliminating the need for tedious manual calibration. This work, which has garnered 4 citations, laid foundational insights for self-calibrating auditory systems in robotics, where spatial awareness is critical for tasks like sound source localization and human-robot interaction. By treating microphone geometry as an unknown variable to be probabilistically estimated, Lin’s approach opened new pathways for deploying auditory perception in dynamic, real-world settings. His research continues to inspire students and engineers seeking to equip robots with more autonomous and robust hearing capabilities, demonstrating how elegant probabilistic reasoning can solve practical engineering challenges in sensing and perception.