Speech2RIR

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 set of scripts implementing popular reverberation audio effect algorithms.

Reverberation Deep Learning Toolbox for Python - Keras

Official PyTorch implementation of 'VINP: Variational Bayesian Inference with Neural Speech Prior for Joint ASR-Effective Speech Dereverberation and Blind RIR Identification'

julia implementation of Smooth Local Projections (SLP)

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

Julia implementation of multi-variate time series models, family of VAR/VECM and estimations like impulse response function