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Fast Acoustic Scattering Using Convolutional Neural Networks

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IEEE ICASSP 2020 Virtual Conference May 2020

Diffracted scattering and occlusion are important acoustic effects in interactive auralization and noise control applications, typically requiring expensive numerical simulation. We propose training a convolutional neural network to map from a convex scat

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Fast Acoustic Scattering Using Convolutional Neural Networks

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Diffracted scattering and occlusion are important acoustic effects in interactive auralization and noise control applications, typically requiring expensive numerical simulation. We propose training a convolutional neural network to map from a convex scat