Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Efren Fernandez Grande"'
Autor:
Marco Olivieri, Xenofon Karakonstantis, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti, Efren Fernandez-Grande
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract Recent developments in acoustic signal processing have seen the integration of deep learning methodologies, alongside the continued prominence of classical wave expansion-based approaches, particularly in sound field reconstruction. Physics-
Externí odkaz:
https://doaj.org/article/6005aa4b95014b97842bd29c0d30c324
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-14 (2024)
Abstract The estimation sound fields over space is of interest in sound field control and analysis, spatial audio, room acoustics and virtual reality. Sound fields can be estimated from a number of measurements distributed over space yet this remains
Externí odkaz:
https://doaj.org/article/2bd650f092a04a4eba5a1903371b041e
Publikováno v:
IEEE Access, Vol 9, Pp 84956-84970 (2021)
Localization in reverberant environments remains an open challenge. Recently, supervised learning approaches have demonstrated very promising results in addressing reverberation. However, even with large data volumes, the number of labels available f
Externí odkaz:
https://doaj.org/article/86cf7072d8494dedb4f80e453819a0b0
Publikováno v:
Fernandez-Grande, E, Karakonstantis, X, Caviedes-Nozal, D & Gerstoft, P 2023, ' Generative models for sound field reconstruction ', Journal of the Acoustical Society of America, vol. 153, no. 2, pp. 1179-1190 . https://doi.org/10.1121/10.0016896
This work examines the use of generative adversarial networks for reconstructing sound fields from experimental data. It is investigated whether generative models, which learn the underlying statistics of a given signal or process, can improve the sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd72af3bad2b2d3e75ba681e37583e2e
https://doi.org/10.1121/10.0016896
https://doi.org/10.1121/10.0016896
Publikováno v:
Technical University of Denmark Orbit
Near-field acoustic holography (NAH) is a very powerful and widely used technique for the study of complex acoustic radiators. NAH enables to quickly understand how a complex source radiates into the medium. The technique is particularly suitable at
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0215dcf1d487d1283b4e15d26b87c21e
https://doi.org/10.3397/in_2022_0839
https://doi.org/10.3397/in_2022_0839
Autor:
Eric Brandão, Efren Fernandez Grande
Publikováno v:
The Journal of the Acoustical Society of America. 151:3019-3030
This study examines the edge diffraction effect when a sound wave impinges and reflects off finite porous absorbers, flush-mounted in an infinite hard baffle. A theoretical analysis of the diffraction is given by taking a two-dimensional spatial Four
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1b71f0c92eb9430def70193d7b5e54e
https://doi.org/10.1121/10.0010355
https://doi.org/10.1121/10.0010355
Publikováno v:
Fischer, A, Lylloff, O, Grande, E F & Bak, C 2023, ' Analytical Corrections for Acoustic Transmission in Kevlar-Walled Wind Tunnels ', AIAA Journal, vol. 61, no. 7, pp. 3119-3133 . https://doi.org/10.2514/1.J062313
Kevlar-walled aeroacoustic wind tunnels have become important research facilities to evaluate low-noise wind turbine designs. In this paper a semi-analytical Green’s function for the transmission of sound through Kevlar walls and shear layers was d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7755912d865156960ba4aede196fe036
https://orbit.dtu.dk/en/publications/6c4881ab-bf3c-425d-b145-0ce7583058a8
https://orbit.dtu.dk/en/publications/6c4881ab-bf3c-425d-b145-0ce7583058a8
Autor:
Efren Fernandez Grande, Manuel Hahmann
Publikováno v:
Hahmann, M & Fernandez-Grande, E 2022, ' A convolutional plane wave model for sound field reconstruction ', Journal of the Acoustical Society of America, vol. 152, no. 5, pp. 3059-3068 . https://doi.org/10.1121/10.0015227
Spatial sound field interpolation relies on suitable models to both conform to available measurements and predict the sound field in the domain of interest. A suitable model can be difficult to determine when the spatial domain of interest is large c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::093db1e701aa8a2c477d084074598d02
https://pubmed.ncbi.nlm.nih.gov/36456279
https://pubmed.ncbi.nlm.nih.gov/36456279
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 263:1527-1538
The characterization of Room Impulse Responses (RIR) over an extended region in a room by means of measurements requires dense spatial with many microphones. This can often become intractable and time consuming in practice. Well established reconstru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7ba045a4bc934bd2e6ef707f445c1c8
https://doi.org/10.3397/in-2021-1864
https://doi.org/10.3397/in-2021-1864
Publikováno v:
INTER-NOISE and NOISE-CON Congress and Conference Proceedings. 263:5424-5432
Sampling spatio-temporal acoustic fields is a challenging problem since it demands a large number of sensors. Typically, to characterize the pressure field inside an enclosure, the number of measurements required increases linearly with frequency and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57202db267c08d44faf3eed21864345e
https://doi.org/10.3397/in-2021-3095
https://doi.org/10.3397/in-2021-3095