All Projects → RoyJames → room-impulse-responses

RoyJames / room-impulse-responses

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

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room-impulse-responses

A list of publicly available acoustic/room impulse response (AIR/RIR) datasets. Currently this repo only tracks real-world recorded room impulse responses. Datasets included here may contain other data (e.g., speech, noise) in addition to RIRs. But this repo only describes the datasets about their RIR contents below. While there may be other webpages (if not outdated) that list some of the RIR datasets, this repo provides a brief description about the content of each dataset so you don't have to download and inspect them one by one before realizing it is not what you desire.

This repo also provides some scripts for downloading datasets if possible. Some dataset may require registration to download, which we may not provide download links directly. Only rows marked with a ✔️ are directly downloadable by running ./get_all_rirs.sh [destination folder].

For getting spatial RIRs in ambisonic format (i.e., .sofa), please refer to another dedicated website.

Name Content Year Paper/Document In script
Arni 132,037 RIRs measured using 5342 configurations of 55 acoustic panels in the variable acoustics laboratory Arni at Acoustics Lab of Aalto University. 2022 Calibrating the Sabine and Eyring formulas
dEchorate 1800 annotated RIRs obtained from 6 arrays of 5 microphones each, 6 sound sources and 11 different acoustic conditions. 2021 dEchorate: a Calibrated Room Impulse Response Dataset for Echo-aware Signal Processing
MeshRIR 4410 mono RIRs recorded in very dense grids in a moderately reverberant room with accurate coordinates. 2021 MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods
BUT Reverb Database 1300+ mono channel RIRs recorded in 8 rooms 2019 Building and evaluation of a real room impulse response dataset ✔️
MIT IR Survey 271 mono channel RIRs all recorded in distinct places 2016 Statistics of natural reverberation enable perceptual separation of sound and space ✔️
ACE Challenge {1,2,3,5,8,32} channel RIRs recorded in 7 rooms 2015 The ACE challenge — Corpus description and performance evaluation
Multichannel Impulse Response Database 234 8-channel RIRs recorded in the same room with 3 levels of reverberation and different microphone array spacings 2014 Multichannel audio database in various acoustic environments ✔️
REVERB Challenge 24 8-channel RIRs recorded in small, medium, and large rooms 2013 The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech ✔️
OpenAIR Ambisonic B format RIRs recorded in over 46 (still increasing) environments 2010 Openair: An interactive auralization web resource and database ✔️
C4DM RIR database 468 mono or ambisonic B format RIRs recorded in 3 large environments 2010 Database of Omnidirectional and B-Format Impulse Responses
Aachen impulse response database 344 binaural RIRs measured with a dummy head in 5 environments including a church 2009 A Binaural Room Impulse Response Database for the Evaluation of Dereverberation Algorithms ✔️
RWCP Sound Scene Database 143 multi-channel RIRs recorded in 14 rooms 2000 Sound scene data collection in real acoustical environments ✔️

Contribute

Collecting real-world impulse responses is not easy. This repo tries to keep up with new real-world datasets available through volunteers. If you know publicly available datasets that are not listed here, you are welcome to create a pull request by adding a new entry to the list (and optionally the script to download & organize it). When writing the description, please highlight how many IRs and environments and what channel format are invovled in this dataset.

Reference

Please properly cite whichever datasets you use in your paper. It would be great if you can also provide a link to this page (e.g., as a footnote, not a citation) so that others may find it useful.

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].