It’s not always feasible to measure the sound field generated by an acoustic source; instead, scientists have to model to come up with a best guess for the missing pieces of the sound field. In this episode, we talk to Efren Fernandez-Grande and Xenofon Karakonstantis (Technical University of Denmark) about their new machine learning method to reconstruct sound fields.

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