Simon Leglaive

I am a tenured Assistant Professor (Maître de Conférences) at CentraleSupélec, in the campus of Rennes (France), where I teach and conduct research in signal processing and machine learning. I am a member of the AIMAC team of the IETR laboratory, a CNRS joint research unit (UMR 6164).

I received my Ph.D. in 2017 from Télécom Paris, where I was working on Bayesian methods for audio source separation in reverberant and multi-microphone recordings, under the supervision of Roland Badeau and Gaël Richard. Before joining CentraleSupélec, I was a postdoctoral researcher at Inria Grenoble Rhône-Alpes, within the Perception team led by Radu Horaud.

My current research focuses on probabilistic generative models and representation learning, primarily for audio and speech applications (e.g., speech enhancement, source separation, and audiovisual speech processing), and more recently for computer vision tasks like human mesh recovery.

Since 2023, I have served as an elected member of the IEEE Technical Committee on Audio and Acoustic Signal Processing (AASP TC).

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