A Practical Approach for Microphone Array Calibration in Augmented and Virtual Reality Applications

Noman Akbar, G. Dickins, Mark R. P. Thomas
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Abstract

Spatial sound is rapidly becoming an important part of augmented reality (AR) and virtual reality (VR) applications. Microphone calibration is essential for providing spatial sound capture and reproduction capabilities in AR/VR. This paper presents RAndom PerturbatIons for Diffuse-field (RAPID), a precise method for the diffuse field calibration of the magnitude responses of microphones. The performance of RAPID is compared against the ground truth obtained using a well-established method utilising a two-axis turntable. Notably, it is possible to perform calibration using RAPID in 30 seconds, whereas calibration using the turntable method can take up to 4 hours. RAPID achieves similar results to the ground truth with significantly less effort and setup requirements. A tool is also available as an open source MATLAB application for performing RAPID calibration with ±0.5 dB accuracy.
增强现实和虚拟现实应用中麦克风阵列标定的实用方法
空间声音正迅速成为增强现实(AR)和虚拟现实(VR)应用的重要组成部分。麦克风校准对于在AR/VR中提供空间声音捕获和再现能力至关重要。本文提出了一种精确的扩音场定标方法——随机扰动扩音场定标法。RAPID的性能与使用一种行之有效的方法利用两轴转台获得的地面真相进行了比较。值得注意的是,可以在30秒内使用RAPID进行校准,而使用转盘方法进行校准可能需要长达4小时。RAPID以更少的工作量和设置要求实现了与ground truth相似的结果。还有一种工具是开源的MATLAB应用程序,用于执行精度为±0.5 dB的RAPID校准。
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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