Well said Rasmus Jensen!

Predicting acoustics in dynamic virtual scenes using scientific machine learning We propose a method capable of accurately predicting the acoustics in the millisecond range for any combinations of sound source and listener positions in virtual rooms and buildings. With previous nu...

The paper can be found here: www.growkudos.com/publications...

The podcast is generated with NotebookAI (pretty impressive!): nikolasborrel.github.io/about/src/so...

Earlier this year, we published a paper in @pnas.org addressing the challenges of calculating real-time virtual acoustics. We proposed a deep neural operator network (DeepONet), that predicts the IR for any source/receiver pair almost instantaneous. For fun, I have generated a podcast (see comments)