Results 11 to 20 of about 9,073,273 (199)

Gaussian processes for sound field reconstruction [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2021
This study examines the use of Gaussian process (GP) regression for sound field reconstruction. GPs enable the reconstruction of a sound field from a limited set of observations based on the use of a covariance function (a kernel) that models the spatial
Fernandez-Grande, Efren   +5 more
core   +3 more sources

Deep Sound Field Reconstruction in Real Rooms:Introducing the ISOBEL Sound Field Dataset [PDF]

open access: yesCoRR, 2021
Knowledge of loudspeaker responses are useful in a number of applications, where a sound system is located inside a room that alters the listening experience depending on position within the room.
Kristoffersen, Miklas Strøm   +3 more
core   +4 more sources

Generative models for sound field reconstruction

open access: yesThe Journal of the Acoustical Society of America, 2023
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 spatio-
Fernandez-Grande, Efren   +3 more
core   +3 more sources

Towards Gridless Sound Field Reconstruction

open access: yes2022 30th European Signal Processing Conference (EUSIPCO), 2022
Sound pressure varies over space and time. Knowledge about this exact behavior has many applications, e.g., room compensation, dereverberation and sound field reconstruction.
van der Werf, Ids (author)
core   +4 more sources

Sound field reconstruction using acousto-optic tomography [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2012
When sound propagates through a medium, it results in pressure fluctuations that change the instantaneous density of the medium. Under such circumstances, the refractive index that characterizes the propagation of light is not constant, but influenced by
Barrera Figueroa, Salvador   +5 more
core   +4 more sources

Perceptual Soundfield Reconstruction in Three Dimensions via Sound Field Extrapolation [PDF]

open access: yesICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019
Perceptual sound field reconstruction (PSR) is a spatial audio recording and reproduction method based on the application of stereophonic panning laws in microphone array design.
Enzo De Sena   +9 more
core   +8 more sources

A theoretical study of sound field reconstruction techniques [PDF]

open access: yes, 2007
Three different methods for the physical analysis and synthesis of sound fields are presented and compared: the least squares method, a method based on the Kirchhoff-Helmholtz integral equation and the generalised Fourier transform method (based on ...
Nelson, Philip A., Fazi, Filippo Maria
core   +2 more sources

Sound field reconstruction using neural processes with dynamic kernels

open access: yesEURASIP Journal on Audio, Speech, and Music Processing
Accurately representing the sound field with high spatial resolution is crucial for immersive and interactive sound field reproduction technology. In recent studies, there has been a notable emphasis on efficiently estimating sound fields from a limited ...
Zining Liang   +2 more
doaj   +4 more sources

A convolutional plane wave model for sound field reconstruction [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2022
Spatial sound field interpolation relies on suitable models to 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 compared to the wavelength or when spherical and planar wavefronts are present or the sound field is complex ...
Manuel Hahmann, Efren Fernandez-Grande
openaire   +4 more sources

Sound field reconstruction in rooms: Inpainting meets super-resolution [PDF]

open access: yesThe Journal of the Acoustical Society of America, 2020
In this paper, a deep-learning-based method for sound field reconstruction is proposed. The possibility to reconstruct the magnitude of the sound pressure in the frequency band 30–300 Hz for an entire room by using a very low number of irregularly distributed microphones arbitrarily arranged is shown.
Lluís, Francesc   +3 more
openaire   +4 more sources

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