Python library for Room Impulse Response (RIR) simulation with GPU acceleration
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Updated
Feb 27, 2024 - Cuda
Python library for Room Impulse Response (RIR) simulation with GPU acceleration
This is the official implementation of our mesh-based neural network (MESH2IR) to generate acoustic impulse responses (IRs) for indoor 3D scenes represented using a mesh.
This is the official implementation of our multi-channel multi-speaker multi-spatial neural audio codec architecture.
RIRIS is the MATLAB implementation of room impulse response interpolation using fast shearlet transforms.
Test of the ability of a Convolutional Neural Network (CNN) trained to localize the Direction Of Arrival (DOA), to generalize in different environments.
This is the official implementation of our end-to-end binaural audio rendering approach (Listen2Scene) for virtual reality (VR) and augmented reality (AR) applications.
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