Search Results for author: Éric Bavu

Found 4 papers, 3 papers with code

Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors

1 code implementation16 Jul 2024 Julien Hauret, Malo Olivier, Thomas Joubaud, Christophe Langrenne, Sarah Poirée, Véronique Zimpfer, Éric Bavu

Vibravox is a dataset compliant with the General Data Protection Regulation (GDPR) containing audio recordings using five different body-conduction audio sensors : two in-ear microphones, two bone conduction vibration pickups and a laryngophone.

Automatic Phoneme Recognition Bandwidth Extension +2

Configurable EBEN: Extreme Bandwidth Extension Network to enhance body-conducted speech capture

1 code implementation17 Mar 2023 Julien Hauret, Thomas Joubaud, Véronique Zimpfer, Éric Bavu

This paper presents a configurable version of Extreme Bandwidth Extension Network (EBEN), a Generative Adversarial Network (GAN) designed to improve audio captured with body-conduction microphones.

Bandwidth Extension Generative Adversarial Network

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

2 code implementations25 Oct 2022 Julien Hauret, Thomas Joubaud, Véronique Zimpfer, Éric Bavu

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

Bandwidth Extension Generative Adversarial Network

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