Results 81 to 90 of about 9,073,273 (199)

Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks

CoRR
In this study, we introduce a method for estimating sound fields in reverberant environments using a conditional invertible neural network (CINN). Sound field reconstruction can be hindered by experimental errors, limited spatial data, model mismatches, and long inference times, leading to potentially flawed and prolonged characterizations.
Xenofon Karakonstantis, Efren Fernandez-Grande, Peter Gerstoft   +2 more
openaire   +3 more sources

Evaluation of ambisonics decoding methods with experimental measurements

Ambisonics is a sound reproduction technique based on the decomposition of the sound field using spherical harmonics. The truncation in the number of coefficients used to recreate the sound field leads to reproduction artifacts which depend on the ...
Fazi, Filippo Maria, Shin, Mincheol, Murillo Gomez, Diego M.   +2 more
core   +1 more source

Associated Students of the University of Puget Sound Senate Minutes 1999-2000 [PDF]

, 1999
Meeting minutes of the Associated Students of the University of Puget Sound from 09/1999 - 04/2000.
Associated Students of the University of Puget Sound (ASUPS)
core  

Causal Spatio-Temporal Sound Field Reconstruction

In sound field control applications, it is commonly assumed that one has access to an accurate representation of the sound field in the region of interest. This is a problematic assumption since the reconstruction of a sound field from available microphone measurements is especially challenging in real-time applications where only causal measurements ...
Sundström, David, Tronarp, Filip, Lindström, Johan, Jakobsson, Andreas   +3 more
openaire   +2 more sources

Volumetric reconstruction of the sound field in a room from arbitrary acousto-optic projections

, 2022
Acousto-optic sensing methods enable the measurement of sound, using the interaction between sound and light as the sensing principle. Specifically, acousto-optic tomography enables the reconstruction of sound fields across space and time.
Fernandez Grande, Efren, Verburg Riezu, Samuel Arturo, Williams, Earl G.   +2 more
core  

Associated Students of the University of Puget Sound Senate Minutes 2002-2003 [PDF]

, 2002
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2002 - 04/2003.
Associated Students of the University of Puget Sound (ASUPS)
core  

A Comparative Study on Room Impulse Response Reconstruction Using Pattern-Coupled Sparse Bayesian Learning with Different Coupling Structures

Applied Sciences
Sparse Bayesian learning (SBL) is widely used for sound field reconstruction (SFR). Among various SBL approaches, pattern-coupled SBL has been demonstrated to achieve superior performance.
Simiao Chen, Shenyuan Gu, Yilin Zhao, Xuelei Feng, Yong Shen   +4 more
doaj   +1 more source

Associated Students of the University of Puget Sound Senate Minutes 1992-1993 [PDF]

, 1992
Meeting minutes of the Associated Students of the University of Puget Sound from 09/1992 - 04/1993.
Associated Students of the University of Puget Sound,
core  

Sound field reconstruction using a compact acoustics-informed neural network

The Journal of the Acoustical Society of America
Sound field reconstruction (SFR) augments the information of a sound field captured by a microphone array. Using basis function decomposition, conventional SFR methods are straightforward and computationally efficient but may require more microphones than needed to measure the sound field.
Fei Ma 0008, Sipei Zhao, Ian S. Burnett
openaire   +3 more sources

Sound field reconstruction for outdoor sound field control applications

, 2020
This Ph.D. study investigates sound field reconstruction techniques for the characterization of the acoustic transfer functions between the loudspeakers and the control areas in outdoor sound field control applications.
Nozal, Diego Caviedes
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