Real time quantitative elastography using supersonic shear wave imaging. - Mickaël Tanter; Mathieu Pernot; Gabriel Montaldo; Jean-Luc Gennisson; Eric Bavu; Emilie Macé; Thu-Mai Nguyen; Mathieu Couade; Mathias Fink (ISBI, 2010)

Méthodes Temporelles en Acoustique - Eric Bavu (2019)

Timescalenet : A Multiresolution Approach for Raw Audio Recognition. - Éric Bavu; Aro Ramamonjy; Hadrien Pujol; Alexandre Garcia 002 (ICASSP, 2019)

TimeScaleNet: A Multiresolution Approach for Raw Audio Recognition Using Learnable Biquadratic IIR Filters and Residual Networks of Depthwise-Separable One-Dimensional Atrous Convolutions. - Eric Bavu; Aro Ramamonjy; Hadrien Pujol; Alexandre Garcia 002 (IEEE J. Sel. Top. Signal Process., 2019)

BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data. - Hadrien Pujol; Éric Bavu; Alexandre Garcia 002 (CoRR, 2021)

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

EBEN: Extreme Bandwidth Extension Network Applied To Speech Signals Captured With Noise-Resilient Body-Conduction Microphones. - Julien Hauret; Thomas Joubaud; Véronique Zimpfer; Éric Bavu (ICASSP, 2023)

Configurable EBEN: Extreme Bandwidth Extension Network to Enhance Body-Conducted Speech Capture. - Julien Hauret; Thomas Joubaud; Véronique Zimpfer; Eric Bavu (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Vibravox: A dataset of french speech captured with body-conduction audio sensors. - Julien Hauret; Malo Olivier; Thomas Joubaud; Christophe Langrenne; Sarah Poirée; Véronique Zimpfer; Éric Bavu (Speech Commun., 2025)