Published January 2, 2024 | Version v1
Dataset Open

A high spatial resolution dataset of spatial room impulse responses for different acoustic room configurations

  • 1. ROR icon Technische Universität Ilmenau

Description

Short description
All measurements were done with an open microphone array on a robotic platform (see figure Robot_with_array.jpg ) in an ITU-R BS.1116 conform listening room.

With consecutively adding walls (2.5m high, 1.6cm thick, painted pressboard), we intended to change the reflection patterns. All room configurations are shown in figure Roomconfigurations.jpg and Floor_plan.jpg

The robot measured the rooms according to an uniform grid (25cm spacing), always facing the same direction (north, x-direction, see figure Floor_plan.jpg). However, the real position and orientation sometimes deviate from the intended values. The real position is saved in the sofa files. The intended XY position is included in the file name.

We cannot guarantee, that all measurements are error-free. Feel free to give us feedback about problems you encounter.

The robot recorded 3 sine-sweeps for each position from each speaking (15 overall). In this dataset only one preselected SRIR per speaker and measuring position is included. If you would like to use all impulse response measurements or pure recordings, please contact us.

File format:
The data is sorted according to the room configurations. Each zip file contains the data for one room configuration.

The actual data is provided in SOFA file format. The name of the sofa files consists of the room identifier and the x and y coordinates of the measured position (intended value). Each SOFA file contains the SRIRs for all five loudspeakers including metadata.

The "SOFA Toolbox v2.1" was used to generate the sofa files. The data is available in the SOFAConvention “SingleRoomSRIR” in Version 1.0

See: https://www.sofaconventions.org/

Abstract (English)

In the field of Mixed Reality applications, one strives for seamless integration of virtual sources into real environments. A high spatial resolution dataset of Spatial Room Impulse Responses (SRIRs) measurements is presented to support this goal. An acoustically dry room was deliberately modified by adding highly reflective walls. A total of nine different wall configurations were measured using robotic platform that sampled the room uniformly with a resolution of 0.25 m. Five loudspeaker positions in each wall configuration led to an overall number of 18535 measurements. Using open-source libraries SRIR from this dataset can be used to calculate Binaural Room Impulse Responses for any head orientation at all measured positions. Our dataset can serve as ground truth for various use cases such as: room acoustic simulations, (S)RIR inter- and extrapolation algorithms, and parametric six-degrees-of-freedom binaural rendering applications. Furthermore, our measurements allow us to analyze the change in directional energy distribution caused by different wall configurations. This way, the perceptual effects of first reflections can be assessed in a controlled manner. Overall, our contribution can help to provide a comprehensive basis for parametric analysis and perception of room acoustic variations in mixed reality scenarios.

Other

Additional software:

The tools listed here can be used for analysis, synthesis of BRIRs and playback of virtualized sources.

SDM toolbox (https://www.mathworks.com/matlabcentral/fileexchange/56663-sdm-toolbox)

Binaural renderer SDM (https://github.com/facebookresearch/BinauralSDM)

Wiedergabe pyBinsim (https://github.com/pyBinSim/pyBinSim)

Notes

Funding

This dataset was created as part of the projects "Multiparties" in the framework "KMU-innovativ: Interactive Technologies for Health and Quality of Life" of the Federal Ministry of Education and Research (BMBF), Germany and "ISOPERARE", funded by Reality Labs Research at Meta.

Files

Floor_plan.jpg

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Additional details

Related works

Is described by
Publication: https://pub.dega-akustik.de/DAGA_2023/data/articles/000518.pdf (URL)
Is supplemented by
Publication: 10.22032/dbt.58929 (DOI)