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.

Associated paper: Efren Fernandez-Grande, Xenofon Karakonstantis, Diego Caviedes-Nozal, and Peter Gerstoft. "Generative models for sound field reconstruction" J. Acoust. Soc. Am. 153, 1179-1190 (2023) https://doi.org/10.1121/10.0016896 .

Read more from The Journal of the Acoustical Society of America (JASA).
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Music Credit: Min 2019 by minwbu from Pixabay.