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

Shoichi Koyama, Tomoya Nishida, Keisuke Kimura, Takumi Abe, Natsuki Ueno, Jesper Brunnström
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引用次数: 13

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.
MESHRIR:用于评价声场分析和综合方法的网格点上的房间脉冲响应数据集
介绍了一种新的脉冲响应数据集“MeshRIR”。目前可用的数据集通常包括在不同房间条件下来自多个源位置的麦克风阵列的ir,这些数据集基本上用于评估语音增强和远程语音识别方法。另一方面,空间声场的估计和控制方法近年来得到了广泛的研究;然而,由于测点的空间分辨率较低,目前的红外数据集并不适用于验证和比较这些方法。MeshRIR由精细离散空间区域获得的位置上测量的红外光谱组成。目前有两个子数据集可用:一个由来自单一来源的三维立方体区域的红外光谱组成,另一个由来自32个来源的阵列的二维方形区域的红外光谱组成。因此,MeshRIR适用于评价声场分析和合成方法。这个数据集可以在https://sh01k.github.io/MeshRIR/上免费获得,附带一些示例应用程序的代码。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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