Review of geoacoustic inversion in underwater acoustics
NR Chapman, EC Shang - Journal of Theoretical and …, 2021 - World Scientific
This paper reviews the progress in geoacoustic inversion over the past several decades.
The review is separated into two parts. The first part reviews developments in model-based …
The review is separated into two parts. The first part reviews developments in model-based …
[HTML][HTML] Generative models for sound field reconstruction
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 …
fields from experimental data. It is investigated whether generative models, which learn the …
Physics-informed neural network for volumetric sound field reconstruction of speech signals
Recent developments in acoustic signal processing have seen the integration of deep
learning methodologies, alongside the continued prominence of classical wave expansion …
learning methodologies, alongside the continued prominence of classical wave expansion …
Generative adversarial networks with physical sound field priors
This paper presents a deep learning-based approach for the spatiotemporal reconstruction
of sound fields using generative adversarial networks. The method utilises a plane wave …
of sound fields using generative adversarial networks. The method utilises a plane wave …
Room impulse response reconstruction with physics-informed deep learning
A method is presented for estimating and reconstructing the sound field within a room using
physics-informed neural networks. By incorporating a limited set of experimental room …
physics-informed neural networks. By incorporating a limited set of experimental room …
Hearing Anything Anywhere
Recent years have seen immense progress in 3D computer vision and computer graphics
with emerging tools that can virtualize real-world 3D environments for numerous Mixed …
with emerging tools that can virtualize real-world 3D environments for numerous Mixed …
[HTML][HTML] Matched field source localization with Gaussian processes
For a sparsely observed acoustic field, Gaussian processes can predict a densely sampled
field on the array. The prediction quality depends on the choice of a kernel and a set of …
field on the array. The prediction quality depends on the choice of a kernel and a set of …
Sound field estimation based on physics-constrained kernel interpolation adapted to environment
JGC Ribeiro, S Koyama, R Horiuchi… - … /ACM Transactions on …, 2024 - ieeexplore.ieee.org
A sound field estimation method based on kernel interpolation with an adaptive kernel
function is proposed. The kernel-interpolation-based sound field estimation methods enable …
function is proposed. The kernel-interpolation-based sound field estimation methods enable …
[HTML][HTML] Spatial reconstruction of sound fields using local and data-driven functions
Sound field analysis methods make it possible to characterize and reconstruct a sound field
from a limited set of observations. Classical approaches rely on the use of analytical basis …
from a limited set of observations. Classical approaches rely on the use of analytical basis …
Free-field characterization of locally reacting sound absorbers using Bayesian inference with sequential frequency transfer
The in situ absorption characteristics of sound-absorbing samples are generally estimated
inversely from sound field measurements above the sample's surface. However, the entire …
inversely from sound field measurements above the sample's surface. However, the entire …