music-6
Room Impulse Response (RIR)
3260 papers • 126 benchmarks • 313 datasets
Room Impulse Response (RIR) is an audio signal processing task that involves capturing and analyzing the acoustic characteristics of a room or an environment. The goal is to measure and model the way sound waves interact with the space, including reflections, reverberation, and echoes.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in room-impulse-response-rir-20
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find room-impulse-response-rir-20 models and implementations
Datasets
No datasets available.
Subtasks
No subtasks available.
Most implemented papers
gpuRIR: A python library for room impulse response simulation with GPU acceleration
David Diaz-Guerra, A. Miguel, J. R. Beltrán•Thu Oct 25 2018
A new implementation of the Image Source Method is presented that dramatically improves the computation speed of the ISM by using Graphic Processing Units (GPUs) to parallelize both the simulation of multiple RIRs and the computation of the images inside each RIR.
166