Python library for Room Impulse Response (RIR) simulation with GPU acceleration
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Updated
Sep 25, 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.
This is the official implementation of reverberant speech to room impulse response estimator
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.
Similarity Metrics for Late Reverberation and code for data processing
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