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球面上非平稳声场的实时分离

Real-time separation of non-stationary sound fields on spheres.

作者信息

Ma Fei, Zhang Wen, Abhayapala Thushara D

机构信息

College of Engineering and Computer Science, The Australian National University, Canberra, Australian Capital Territory 0200, Australia.

Center of Intelligent Acoustics and Immersive Communications, Northwestern Polytechnical University, Xi'an 710072, Shaanxi, China.

出版信息

J Acoust Soc Am. 2019 Jul;146(1):11. doi: 10.1121/1.5114819.

Abstract

The sound field separation methods can separate the target field from the interfering noises, facilitating the study of the acoustic characteristics of the target source, which is placed in a noisy environment. However, most of the existing sound field separation methods are derived in the frequency-domain, thus they are best suited for separating stationary sound fields. In this paper, a time-domain sound field separation method is developed that can separate the non-stationary sound field generated by the target source over a sphere in real-time. A spherical array sets up a boundary between the target source and the interfering sources, such that the outgoing field on the array is only generated by the target source. The proposed method decomposes the pressure and the radial particle velocity measured by the array into spherical harmonic coefficients, and recovers the target outgoing field based on the time-domain relationship between the decomposition coefficients and the theoretically derived spatial filter responses. Simulations show the proposed method can separate non-stationary sound fields both in free field and room environments, and over a longer duration with small errors. The proposed method could serve as a foundation for developing future time-domain spatial sound field manipulation algorithms.

摘要

声场分离方法可以将目标场与干扰噪声分离,便于对置于嘈杂环境中的目标声源的声学特性进行研究。然而,现有的大多数声场分离方法都是在频域中推导出来的,因此它们最适合分离平稳声场。本文提出了一种时域声场分离方法,该方法可以实时分离目标声源在球面上产生的非平稳声场。球形阵列在目标声源和干扰声源之间建立了一个边界,使得阵列上的出射场仅由目标声源产生。该方法将阵列测量的压力和径向粒子速度分解为球谐系数,并根据分解系数与理论推导的空间滤波器响应之间的时域关系恢复目标出射场。仿真结果表明,该方法能够在自由场和室内环境中分离非平稳声场,且分离时间更长,误差较小。该方法可为未来时域空间声场操纵算法的发展奠定基础。

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