most citedBeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data

21 citations

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3 papers

eess.AS2022★ 16 cited

EBEN: Extreme bandwidth extension network applied to speech signals captured with noise-resilient body-conduction microphones

Julien Hauret, Thomas Joubaud, Véronique Zimpfer +1

In this paper, we present Extreme Bandwidth Extension Network (EBEN), a Generative Adversarial network (GAN) that enhances audio measured with body-conduction microphones. This typ…

math.NA2022★ 5 cited

On single distribution lattice Boltzmann schemes for the approximation of Navier Stokes equations

François Dubois, Pierre Lallemand

In this contribution we study the formal ability of a multi-resolution-times lattice Boltzmann scheme to approximate isothermal and thermal compressible Navier Stokes equations wit…

eess.AS2021★ 21 cited

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

Sound sources localization using multichannel signal processing has been a subject of active research for decades. In recent years, the use of deep learning in audio signal process…