XK
Danish Sound Cluster project: Physics-informed Neural Networks for Sound Field Reconstruction
Published on by Xenofon Karakonstantis
The objective of this project is to develop a methodology to predict the sound field in a room, based on a set of sparse measurements distributed about the room. We plan to explore the use of Physics Informed Neural Networks (PINNs) for the task of reconstructing the sound field, based on a set of sparse measurements. The main outcomes of this project are threefold:
- To curate a data set for the training of neural networks in reverberant environments.
- To examine the predictive potential of PINNs to interpolate and extrapolate acoustic data in fine spatial grids.
- Examine the ability of the network to model the propagation of sound in free-fields, which is relevant for sound radiation and noise control.
Cite items from this project
Funding
Ministry of Education and Research (UFS)
Danish Agency for Higher Education and Science