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.

Official code for "Learning Neural Acoustic Fields" (NeurIPS 2022)

An impulse response dataset for binaural synthesis of spatial audio systems on headphones

This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.

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.

A dataset of filters for headphone correction and binaural synthesis of spatial audio systems on headphones

Reverb effect using hybrid impulse convolution

easy-to-use implementation of the ISMIR 2013 Audio Degradation Toolbox

Matlab-based software for measuring acoustic parameters and experiments.

The IoSR listening room multichannel BRIR dataset contains binaural room impulse responses measured at head angles of 0 to 360 degrees in 2.5 degree steps, for 24 loudspeakers in the standard positions for 22.2 reproduction.

Binaural Room Reverb

Local projection methods for impulse response estimation

Impulse response measurement Patch made with Max/MSP/Jitter/Gen

This is the official implementation of reverberant speech to room impulse response estimator

WORK-IN-PROGRESS Solve and estimate heterogenous agent models with sequence-space Jacobians

julia implementation of Smooth Local Projections (SLP)

Impulse response(IR) measurement software.

Blackman-Harris Window functions (3-, 5-, 7-term etc.) from 1K to 64M points based only on LUTs and DSP48s FPGA resources. Main core - CORDIC like as DDS (sine / cosine generator)

State-Dependent Empirical Analysis: tools for state-dependent forecasts, impulse response functions, historical decomposition, and forecast error variance decomposition.

A personal JUCE project that loads impulse response .WAV files and displays their frequency curves.