54 citations · 234 across the 17 of their papers we have counts for
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Synthetic Wave-Geometric Impulse Responses for Improved Speech Dereverberation
Rohith Aralikatti, Zhenyu Tang, Dinesh Manocha
We present a novel approach to improve the performance of learning-based speech dereverberation using accurate synthetic datasets. Our approach is designed to recover the reverb-fr…
MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes
Anton Ratnarajah, Zhenyu Tang, Rohith Chandrashekar Aralikatti +1
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-quali…
GWA: A Large High-Quality Acoustic Dataset for Audio Processing
Zhenyu Tang, Rohith Aralikatti, Anton Ratnarajah +1
We present the Geometric-Wave Acoustic (GWA) dataset, a large-scale audio dataset of about 2 million synthetic room impulse responses (IRs) and their corresponding detailed geometr…