16 citations · 16 across the 4 of their papers we have counts for
4 papers · 1 filter
Real-time speech enhancement in noise for throat microphone using neural audio codec as foundation model
Julien Hauret, Thomas Joubaud, Éric Bavu
We present a real-time speech enhancement demo using speech captured with a throat microphone. This demo aims to showcase the complete pipeline, from recording to deep learning-bas…
French Listening Tests for the Assessment of Intelligibility, Quality, and Identity of Body-Conducted Speech Enhancement
Thomas Joubaud, Julien Hauret, Véronique Zimpfer +1
This study evaluates the Extreme Bandwidth Extension Network (EBEN) model on body-conduction sensors through listening tests. Using the Vibravox dataset, we assess intelligibility…
Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors
Julien Hauret, Malo Olivier, Thomas Joubaud +4
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 microp…
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…