Full Professor in Acoustics
Laboratoire de Mécanique des Structures et des Systèmes Couplés
Laboratoire de Mécanique des Structures et des Systèmes Couplés
I am a full professor at CNAM Paris, working within the AVA Team (Acoustics, Vibrations, and Audio) at the Laboratory of Structural Mechanics and Coupled Systems .
To date, I have supervised or co-supervised 10 doctoral theses (8 defended, 2 in progress), and have led the ANR Deeplomatics project until June 2022.
I defended my HDR in December 2019. My habilitation thesis has been deposited on HAL , and I have made available a video with chapters of the defense as well as the slides in html format.
My research activities focus on deep learning for acoustics and audio, inverse problems in acoustics, and multichannel signal processing.
Accreditation to Supervise Research, Acoustics, 2019
Conservatoire National des Arts et Métiers (FR)
PhD thesis in Mechanical Engineering, Acoustics Specialty, 2008
Cotutelle University of Sherbrooke (Qc, CA) and University Paris 6 Pierre et Marie Curie (FR)
Master in Acoustics, Signal Processing and Computer Science (ATIAM), 2005
Pierre et Marie Curie University (FR)
Teacher training degree (french Agregation) Physics, 2004
École Normale Supérieure de Cachan (FR)
Bachelor and Master of Fundamental Physics, 2002-2003
École Normale Supérieure de Cachan / Université d'Orsay (FR)
Body conducted speech capture and enhancement using generative deep learning.(Spectre Workshop 2026)
Interpreting neural audio codec tokens via analysis–synthesis modeling (Interspeech 2025)
Body conducted speech enhancement using a dedicated GAN architecture (ICASSP 2023)
Research Activities: Deep Learning for Acoustics and Field Reconstruction, Speech Enhancement, 3D Audio, Localization and Recognition of Moving Sources
Funded Research Projects: ANR Damier (2024-2027), ANR AHEAD (2020-2026), DGA RAPID Deeplodocus (2025-2027), ANRT contracts with L-Acoustics (2023-2026) and Essilor-Luxottica (2025-2028)
Thesis supervision: Noé Guttierez (2025-…), Louis Reine (2023-…), Argan Verrier (2023-2024), Julien Hauret (2022-2025), Philippe Thorner (2022-2025)
Courses taught in acoustics and signal processing for initial training and CNAM engineering courses in evening classes, in person and via distance learning. Students from Bac+1 to Bac+5.
Research Activities: microphone array processing, inverse problems in temporal acoustics, deconfinement, localization of moving sources, deep learning in acoustics for source localization and sound source recognition.
Funded research projects: ANR Deeplomatics (2019-2022), ANR PARABAS (2009), FUI LICORVE (2009-2012), LSC-BIOAC Project (2016-2018)
Thesis co-supervision: Hadrien Pujol (2017-2020), Aro Ramamonjy (2015-2019), Guillaume Mahenc (2013-2016), Stéphanie Lobréau (2011-2015), Yacine Braikia (2009-2012)
Teaching in acoustics and signal processing for initial training, apprenticeship diplomas, and Cnam engineering training in evening classes, face-to-face and distance learning. Audiences from 1-year to 5-year Higher Education courses.
Contracts and supervised PhDs
