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Simon Leglaive

Assistant Professor
CentraleSupélec, IETR (UMR CNRS 6164)

Cesson-Sévigné, France
simon.leglaive@centralesupelec.fr
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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 audio source separation for 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 focuses on signal processing and machine learning for audio and speech applications, with a special emphasis on generative models for weakly-supervised learning.

I teach machine learning, deep learning and audio signal processing to graduate-level students of CentraleSupélec.

Open positions

As part of the DEGREASE project I am looking for: The starting dates can be adjusted. Detailed offers will be provided here as they arise. If you want to know more about these positions, do not hesitate to contact me (even if detailed offers are not yet available).