MeshRIR: A Dataset of Room Impulse Responses on Meshed Grid Points For Evaluating Sound Field Analysis and Synthesis Methods

TL;DR

MeshRIR is a high-resolution room impulse response dataset designed for evaluating sound field analysis and synthesis methods, featuring IRs measured at finely discretized spatial points in 2D and 3D regions.

Contribution

The paper introduces MeshRIR, a novel dataset with high spatial resolution IRs for validating sound field analysis and synthesis, filling a gap in existing datasets.

Findings

Two subdatasets: 3D cuboidal region and 2D square region with multiple sources.

High spatial resolution IRs enable detailed sound field analysis.

Freely available dataset with sample application codes.

Abstract

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.