Danish Sound Cluster project: Physics-informed Neural Networks for Sound Field Reconstruction

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.