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Found 2 papers, 1 papers with code
Deep Sound Field Reconstruction in Real Rooms: Introducing the ISOBEL Sound Field Dataset
Moreover, the paper advances on a recent deep learning-based method for sound field reconstruction using a very low number of microphones, and proposes an approach for modeling both magnitude and phase response in a U-Net-like neural network architecture.
Sound field reconstruction in rooms: inpainting meets super-resolution
In particular, the presented approach uses a limited number of arbitrary discrete measurements of the magnitude of the sound field pressure in order to extrapolate this field to a higher-resolution grid of discrete points in space with a low computational complexity.
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