Database: TUIL-AR-GRID-M-HL_23 (2023-2024)

Subtitle: TU Ilmenau Room Configurations Dataset
Cite as: Treybig, L., Klein, F., Stolz, G., and Werner, S. (2026). "TUIL-AR-GRID-M-HL_23", The SONICOM Ecosystem: Database #104. URL: https://ecosystem.sonicom.eu/databases/104. Copy Citation to Clipboard

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  • DOI: not assigned yet
  • Uploaded by: Michael Mihocic ORCID: 0000-0002-0800-6293 Email address: michael.mihocic@oeaw.ac.at
  • Date (created): 2026-09-28 14:47:56 (GMT)
  • Date (updated): 2026-10-01 12:04:11 (GMT)
  • Production Year: 2023-2024
  • Resource Type: Dataset (SONICOM Ecosystem)
  • Rights: CC BY-NC-SA 4.0 Attribution- NonCommercial-ShareAlike
  • Subject Areas: Life Science , Other SONICOM Ecosystem
  • General Description: A high spatial resolution dataset of spatial room impulse responses for different acoustic room configurations at TU Ilmenau. SRIR GRID measurements in Audio Technology Lab with 8 room configurations, by adding walls.
  • Abstract: 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.
  • Methods: 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.
  • Data Source: acoustically measured

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Uploaded by: Michael Mihocic
Created: 2026-09-28 14:47:56
Updated: 2026-10-01 12:04:11