Full Professor in Acoustics

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Éric Bavu

Full Professor

LMSSC

Cnam Paris

I am a full professor since 2023 (former senior lecturer since 2009) at Cnam Paris, in the acoustics team of the Laboratoire de Mécanique des Structures et des Systèmes Couplés .

To date, I have officially co-supervised 8 PhD students (4 defended, 4 in progress). I lead the ANR Deeplomatics project until June 2022.

I defended my accreditation to supervise research (HDR) in December 2019. My habilitation thesis has been deposited on HAL , and I leave available a chaptered video of the defense as well as the slides in html.

My research activities are focused on inverse problems in acoustics, signal processing associated with microphonic arrays, and Deep Learning methods for acoustics.

Interests

  • Inverse problems in time domain
  • Deep Learning applied to acoustics
  • Source localization
  • Reverberant and noisy environments
  • 3D Audio
  • Transient elastography (post-doc)

Education

  • 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)

Recent and upcoming talks

Jun 27, 2022 4:45 PM Quiet Drones 2022 E-symposium - Paris

Deeplomatics - A deep-learning based multimodal approach for aerial drone detection and localization

Realtime Identification and geolocalization of flying drones.

Project Slides Video
Apr 11, 2022 2:30 PM Campus Saint Charles - Aix Marseille Université

Deep Learning enhancement of speech signals captured with in-ear transducers

Improving speech intelligibility recorded by in-the-ear transducers

Project Slides

Recent publications

Sébastien Hengy, Oussama Rassy, Sébastien de Mezzo, Eric Bavu, Hadrien Pujol, Alexis Matwyschuk, Stéphane Schertzer, Nicolas Metzger, Bacher Emmanuel (2022). Deeplomatics project: Multimodal UAV detection, localisation and identification for site surveillance. 8th Workshop on Battelfield Acoustics, ISL.

PDF

Julien Hauret, Thomas Joubaud, Véronique Zimpfer, Éric Bavu (2022). EBEN: Extreme bandwidth extension network applied to speech signals captured with noise-resilient microphones. ArXiV preprint - Submitted to ICASSP 2023.

PDF Project Website Code

Éric Bavu, Hadrien Pujol, Alexandre Garcia, Christophe Langrenne, Sébastien Hengy, Oussama Rassy, Nicolas Thome, Yannis Karmim, Stéphane Schertzer, Alexis Matwyschuk (2022). Deeplomatics: A deep-learning based multimodal approach for aerial drone detection and localization. QUIET DRONES Second International e-Symposium on UAV/UAS Noise.

PDF Project Slides

H. Pujol, E. Bavu, A. Garcia (2022). 3D acoustic source localization using Deep Learning : training procedure using a higher order ambisonic spatialization process.. CFA2022 - 16E CONGRÈS FRANÇAIS D’ACOUSTIQUE DE LA SFA.

PDF Project Project

J. Hauret, E. Bavu, T. Joubaud, V. Zimpfer (2022). Deep Learning enhancement of speech captured with in-ear transducers. CFA2022 - 16E CONGRÈS FRANÇAIS D’ACOUSTIQUE DE LA SFA.

PDF Project Talk

H. Pujol, E. Bavu, A. Garcia, C. Langrenne, S. Hengy, S. Schertzer, A. Matwyschuk (2022). Deeplomatics: Acoustic Localization and recognition of drones. CFA2022 - 16E CONGRÈS FRANÇAIS D’ACOUSTIQUE DE LA SFA.

PDF Project

H. Pujol, E. Bavu, A. Garcia (2021). BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data. Journal of the Acoustical Society of America.

PDF Project DOI

See all publications

Experience

 
 
 
 
 

Senior Lecturer (HDR)

Laboratoire de Mécanique des Structures et des Systèmes Couplés

Sep 2009 – Present Cnam Paris

Research activities focused on microphonic array signal processing, inverse problems in the time domaine in acoustics, deconfinement, moving source localization, and the use of Deep Learning in acoustics for source localization and sound source recognition.

  • Accredited to supervise research (HDR) since 2019
  • 6 PhD students co-supervised since 2011
  • 1 post-doctorate fellow supervised (2020-2022)
  • Participation in 6 research projects since 2008 (3 ANR, 2 of which are ongoing, 2 FUI, 1 regional project)
  • Project leader and coordinator of an ANR ASTRID project (Deeplomatics 2019-2022)

Courses in acoustics and signal processing for initial training, apprenticeship diplomas, and Cnam engineering courses in evening classes, in-class and distance learning. Students from Bac+1 to Bac+5.

 
 
 
 
 

Post-doc CNRS

Institut Langevin, Équipe Physique des Ondes pour la Médecine

Dec 2008 – Aug 2009 ESPCI Paris
Transient and broadband elastography by ultrasound imaging method Supersonic Shear Imaging for the detection of liver fibrosis
 
 
 
 
 

PhD thesis

Institut Jean le Rond d’Alembert / Groupe d’Acoustique de l’Université de Sherbrooke

Sep 2005 – Oct 2008 Paris / Sherbrooke
High resolution focusing and imaging using time reversal in the audible domain. Development a digital time-reversal sink for imaging, with applications to localization and characterization of unsteady acoustic sources.

Research Projects

Ongoing contracts and supervised PhDs

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Filtrer les projets par thématique :

All projects Deep Learning UAVs Source localization Speech signals Time reversal ANR contracts Supervised PhDs

Bandwidth extension of speech signals

Julien Hauret’s PhD thesis (2021- 2024)

BeamLearning - Source localization using Deep Learning

Hadrien Pujol’s PhD thesis (2017-2020)
PhD Thesis manuscript

Sound recognition using Deep Learning

TimeScaleNet, a multi-resolution time domain architecture for speech and environmental sound recognition

ANR ASTRID project ‘Deeplomatics’

Project leader - DGA funding 2019-2022

Acoustic localization and detection of UAVs

Aro Ramamonjy’s PhD (2015-2018)
PhD Thesis manuscript

Acoustic sources in supersonic motion

Guillaume Mahenc’s PhD thesis (2014-2017)
PhD Thesis manuscript

Unsteady acoustic imaging in adverse environments

Stéphanie Lobréau’s PhD thesis (2011-2015)
PhD Thesis manuscript

Tags

Acoustics ANR Bandwidth extension Computer vision Deep Learning Drones Fusion Generative adversarial network In-ear microphones Inverse problems MEMS microphones Optronics Pseudo-quadrature mirror filterbanks Reverberating mediums Snipers Source localization Speech signals Supervised PhDs Time reversal UAV

Contact

  • +33 1 40 27 21 66
  • Cnam, 2, rue Conté, Paris, 75003
  • Laboratoire de Mécanique des Structures et des Systèmes Couplés, Accès 31, Bureau 31.0E.02