Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

A list of publicly available room impulse response datasets and scripts to download them.

This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.

Impulse response generation based on state-of-the-art geometric sound propagation engine.

Room impulse response simulator using python

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.

cram is a computational room acoustics module to simulate and explore various acoustic properties of a modeled space

Translating Synthetic RIRs to Real RIRs

This is the official implementation of our multi-channel multi-speaker multi-spatial neural audio codec architecture.

Augmenting Room Impulse Response

Companion code of DAFx23 "Differentiable Feedback Delay Network for Colorless Reverberation"

Room Acoustics Impulse Response Generator using the Randomized Image Method (RIM)

Implementation of FiNS model for RIR estimation

Algorithm for blind estimation of reverberation time

Regularized spherical Fourier transform for room impulse response interpolation.

Lite Package for Room Impulse Response

This is the official implementation of our end-to-end binaural audio rendering approach (Listen2Scene) for virtual reality (VR) and augmented reality (AR) applications.

Machine Learning based Indoor Localization via Room Impulse Response

A repository to automatically estimate mean absorption coefficients and room geometry from virtually generated RIR files.

A room impulse response generator in the frequency domain.