Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Bavu, Eric"'
This paper presents the 3D soundfield synthesis of the pressure field radiated by directional acoustic sources using both the multimodal method and higher-order ambisonics (HOA). Ambisonics is a technique for encoding and reproducing measured or mode
Externí odkaz:
http://arxiv.org/abs/2409.12506
Autor:
Hauret, Julien, Olivier, Malo, Joubaud, Thomas, Langrenne, Christophe, Poirée, Sarah, Zimpfer, Véronique, Bavu, Éric
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. The
Externí odkaz:
http://arxiv.org/abs/2407.11828
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing (2023 - Volume: 31) - pp. 3499 - 3512
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. We show that although these microphones significantl
Externí odkaz:
http://arxiv.org/abs/2303.10008
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
In this paper, we present Extreme Bandwidth Extension Network (EBEN), a Generative Adversarial network (GAN) that enhances audio measured with body-conduction microphones. This type of capture equipment suppresses ambient noise at the expense of spee
Externí odkaz:
http://arxiv.org/abs/2210.14090
Publikováno v:
J. Acoust. Soc. Am. 149 (6), June 2021
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 processing has allowed to drastically improve performances for machine hearin
Externí odkaz:
http://arxiv.org/abs/2104.13347
Autor:
Bavu, Eric
Le développement de techniques de focalisation et d'imagerie à haute résolution pour les sources acoustiques et vibratoires à basse fréquence est l'un des enjeux de la recherche actuelle en acoustique, notamment pour exciter localement et analys
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00811601
http://tel.archives-ouvertes.fr/docs/00/81/16/01/PDF/These_Eric_Bavu.pdf
http://tel.archives-ouvertes.fr/docs/00/81/16/01/PDF/These_Eric_Bavu.pdf
We measure and compare the rotational and transverse velocity of a bowed string. When bowed by an experienced player, the torsional motion is phase-locked to the transverse waves, producing highly periodic motion. The spectrum of the torsional motion
Externí odkaz:
http://arxiv.org/abs/physics/0505058
Publikováno v:
Acta Acustica united with Acustica 91, N2 (2005) 241
Bowing a string with a non-zero radius exerts a torque, which excites torsional waves. In general, torsional standing waves have higher fundamental frequencies than do transverse standing waves, and there is generally no harmonic relationship between
Externí odkaz:
http://arxiv.org/abs/physics/0505059
Autor:
Hengy, Sébastien, Rassy, Oussama, de Mezzo, Sébastien, Bavu, Eric, Pujol, Hadrien, Matwyschuk, Alexis, Schertzer, Stéphane, Metzger, Nicolas, Emmanuel, Bacher
The Deeplomatics project aims at detecting, localizing and identifying low sound level acoustic sources generated during UAV intrusion on sensitive areas. To do that, a multimodal approach has been chosen. Acoustical sensors coupled to an AI processo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::dd9e95d582398228a33ae203a46e909b
https://hal.science/hal-03831918
https://hal.science/hal-03831918
Autor:
Pujol, Hadrien, Bavu, Eric, Garcia, Alexandre, Langrenne, Christophe, Hengy, Sébastien, Schertzer, Stéphane, Matwyschuk, Alexis
Le projet Deeplomatics vise à développer un système de surveillance anti-drone basé sur l’utilisation de techniques de Deep Learning s’appuyant sur des capteurs audio et vidéo. Le système est constitué de plusieurs antennes micro- phonique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::6856369046ba594f973f7ac7f820bdb1
https://hal.science/hal-03707053
https://hal.science/hal-03707053