MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods
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Abstract (arXiv)
A new impulse response (IR) dataset called "MeshRIR" is introduced. Currently available datasets usually include IRs at an array of microphones from several source positions under various room conditions, which are basically designed for evaluating speech enhancement and distant speech recognition methods. On the other hand, methods of estimating or controlling spatial sound fields have been extensively investigated in recent years; however, the current IR datasets are not applicable to validating and comparing these methods because of the low spatial resolution of measurement points. MeshRIR consists of IRs measured at positions obtained by finely discretizing a spatial region. Two subdatasets are currently available: one consists of IRs in a three-dimensional cuboidal region from a single source, and the other consists of IRs in a two-dimensional square region from an array of 32 sources. Therefore, MeshRIR is suitable for evaluating sound field analysis and synthesis methods. This dataset is freely available at https://sh01k.github.io/MeshRIR/ with some codes of sample applications.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 21 Jun 2021.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 1; 2025: 3; 2026: 1.
9 papers.
- 2022Learning Neural Acoustic Fieldscited by 65
- 2021A Survey of Sound Source Localization with Deep Learning Methodscited by 45
- 2022MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenescited by 23
- 2024Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmarkcited by 20
- 2023Generative adversarial networks with physical sound field priorscited by 4
- 2025SoundVista: Novel-View Ambient Sound Synthesis via Visual-Acoustic Bindingcited by 3
- 2025Room-acoustic simulations as an alternative to measurements for audio-algorithm evaluationcited by 3
- 2025Resounding Acoustic Fields with Reciprocitycited by 1
- 2026Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Scorecited by 0
- 2026Quantifying the Uncertainty of Blindly Estimated Room Embeddings Using a Dispersion-Calibrated Score1 Jul 2026
- 2025Resounding Acoustic Fields with Reciprocity23 Oct 2025
- 2025Room-acoustic simulations as an alternative to measurements for audio-algorithm evaluation5 Sep 2025
- 2025SoundVista: Novel-View Ambient Sound Synthesis via Visual-Acoustic Binding8 Apr 2025
- 2024Real Acoustic Fields: An Audio-Visual Room Acoustics Dataset and Benchmark27 Mar 2024
- 2023Generative adversarial networks with physical sound field priors1 Aug 2023
- 2022MESH2IR: Neural Acoustic Impulse Response Generator for Complex 3D Scenes18 May 2022
- 2022Learning Neural Acoustic Fields4 Apr 2022
- 2021A Survey of Sound Source Localization with Deep Learning Methods8 Sep 2021