Simon Leglaive

About me

I am a tenured Assistant Professor (Maître de Conférences) at CentraleSupélec, in the campus of Rennes, and a researcher in 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 research interests lie in signal processing and machine learning, particularly for audio and speech applications. My recent work focuses on probabilistic generative models, low-dimensional representation learning, and weakly or semi-supervised learning, with applications in multimodal machine perception (e.g., speech enhancement, audiovisual speech analysis, human mesh recovery).

I teach machine learning, deep learning, and audio signal processing at CentraleSupélec.

Open positions

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