Sound propagation in realistic interactive 3D scenes with parameterized sources using deep neural operators
We address the challenge of acoustic simulations in three-dimensional (3D) virtual rooms
with parametric source positions, which have applications in virtual/augmented reality, game …
with parametric source positions, which have applications in virtual/augmented reality, game …
GPU algorithms for efficient exascale discretizations
In this paper we describe the research and development activities in the Center for Efficient
Exascale Discretization within the US Exascale Computing Project, targeting state-of-the-art …
Exascale Discretization within the US Exascale Computing Project, targeting state-of-the-art …
[HTML][HTML] Physics-informed neural networks for one-dimensional sound field predictions with parameterized sources and impedance boundaries
2. Methods We take a data-free approach where only the underlying physics is included in
the training and their residual minimized through the loss function, allowing insights into how …
the training and their residual minimized through the loss function, allowing insights into how …
An asynchronous discontinuous Galerkin method for massively parallel PDE solvers
The discontinuous Galerkin (DG) method is widely being used to solve hyperbolic partial
differential equations (PDEs) due to its ability to provide high-order accurate solutions in …
differential equations (PDEs) due to its ability to provide high-order accurate solutions in …
[HTML][HTML] A stable decoupled perfectly matched layer for the 3D wave equation using the nodal discontinuous Galerkin method
SJ Feriani, M Cosnefroy, AP Engsig-Karup… - Journal of Sound and …, 2025 - Elsevier
In outdoor acoustics, the calculations of sound propagating in air can be computationally
heavy if the domain is chosen large enough for the sound waves to decay. The …
heavy if the domain is chosen large enough for the sound waves to decay. The …
Just noticeable difference for simulation accuracy between full and reduced order models (L)
HS Llopis, C Kjær, AP Engsig-Karup… - The Journal of the …, 2024 - pubs.aip.org
Model order reduction techniques significantly reduce the computational time when
performing accurate room acoustic simulations with numerical methods that inherently …
performing accurate room acoustic simulations with numerical methods that inherently …
The time domain linear sampling method for determining the shape of multiple scatterers using electromagnetic waves
The time domain linear sampling method (TD-LSM) solves inverse scattering problems
using time domain data by creating an indicator function for the support of the unknown …
using time domain data by creating an indicator function for the support of the unknown …
Generative Data Augmentation Challenge: Synthesis of Room Acoustics for Speaker Distance Estimation
J Lin, G Götz, HS Llopis, H Hafsteinsson… - arxiv preprint arxiv …, 2025 - arxiv.org
This paper describes the synthesis of the room acoustics challenge as a part of the
generative data augmentation workshop at ICASSP 2025. The challenge defines a unique …
generative data augmentation workshop at ICASSP 2025. The challenge defines a unique …
[PDF][PDF] Generating impulse responses using autoencoders
M Eineborg, F Pind… - Proceedings of the 10th …, 2024 - dael.euracoustics.org
ABSTRACT Room Impulse Response (IR) captures the characteristics of the associated
room and is affected by geometry, boundary materials, and objects within the room. Being …
room and is affected by geometry, boundary materials, and objects within the room. Being …
Code Generation for Room Acoustics Simulations with Complex Boundary Conditions
The software and hardware landscape of high performance computing is expanding faster
than computational scientists can take advantage of new frameworks and platforms. In an …
than computational scientists can take advantage of new frameworks and platforms. In an …