Ariel Podlubne

Centre National de la Recherche Scientifique, Laboratoire d'Analyse et d'Architecture des Systèmes

Papers

Total Citations

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About

Ariel Podlubne is a researcher specializing in audio signal processing, binaural sound localization, and sensorimotor control systems. His work sits at the intersection of acoustic perception and control theory, with a particular focus on developing active localization strategies that overcome the fundamental limitations inherent in passive binaural hearing systems. Podlubne's most significant contributions address longstanding challenges in binaural localization, including front-back ambiguity and distance non-observability — problems that have long constrained the accuracy of spatial audio systems. By integrating sensed audio signals with sensor motor commands into unified "active" control frameworks, his research introduces feedback-driven approaches that leverage stochastic filtering to achieve more robust and reliable sound source localization. His 2017 paper on information-based feedback control for audio-motor binaural localization has garnered 11 citations, establishing it as a meaningful reference in the field. His work has implications for both computational auditory modeling and the design of intelligent hearing systems, including hearing aids, robotics, and virtual reality audio. Podlubne's research represents a compelling bridge between classical control theory and modern auditory neuroscience, offering principled solutions to perception problems that remain relevant across both biological and artificial systems.