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MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes. (arXiv:2205.09248v1 [cs.SD])
May 20, 2022, 1:11 a.m. | Anton Ratnarajah, Zhenyu Tang, Rohith Chandrashekar Aralikatti, Dinesh Manocha
cs.LG updates on arXiv.org arxiv.org
We propose a mesh-based neural network (MESH2IR) to generate acoustic impulse
responses (IRs) for indoor 3D scenes represented using a mesh. The IRs are used
to create a high-quality sound experience in interactive applications and audio
processing. Our method can handle input triangular meshes with arbitrary
topologies (2K - 3M triangles). We present a novel training technique to train
MESH2IR using energy decay relief and highlight its benefits. We also show that
training MESH2IR on IRs preprocessed using our proposed …
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