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Acoustical measurements and prediction of psychoacoustic metrics with spatial variation

机译:空间变异的声学测量与心理声学度量的预测

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The use of sound pressure levels is not adequate to assess and predict environmental sound quality at different locations. Moreover, there is a lack of studies investigating the psychoacoustic metrics with spatial variation. This study aims to investigate (1) the effects of spatial factors (distance and sound emission orientation) on three physical acoustic metrics (root-mean-square sound pressure (P-rms), unweighted sound pressure level (L-Z), and A-weighted sound pressure level (L-A)) and two psychoacoustic metrics (total loudness (N) and sharpness (S)); and (2) the role of the metrics and their statistical parameters in characterizing acoustical properties, through measurements of steady directional high-frequency sound at different points in an anechoic chamber. The results indicate that the sound intensity metrics L-Z or L-A as well as the subjective loudness metric N are distance-dependent. The value of N was approximately equal to 0.727 times the original loudness when doubling the distance from the source. Strong correlations were found between four sound energy content-related metrics (P-rms, L-Z, L-A, and N). However, the fifth metric (S) was closely related to sound spectral content. Moreover, the interquartile range of N was found to be an option of representing sound temporal content. This is the first study to establish the predictability of psychoacoustic metrics with spatial variation. These findings provide a new insight into environmental sound quality assessment and prediction. (C) 2020 Elsevier Ltd. All rights reserved.
机译:声压水平的使用不足以评估和预测不同地点的环境音质。此外,缺乏研究具有空间变异的心理声学度量。本研究旨在调查(1)空间因子(距离和声音方向)对三个物理声学指标的影响(根均方声压(P-rms),未加权声压(LZ)和A-加权声压水平(LA))和两个心理声学度量(总响度(n)和锐度); (2)测量标准的作用及其统计参数在表征声学特性时,通过在一个消声室中的不同点处的稳态向高频声音测量。结果表明声强度量L-Z或L-A以及主体响度度量N是距离依赖性的。当与源的距离加倍时,n的值大约等于原始响度的0.727倍。在四个声音能量内容相关的指标(P-RMS,L-Z,L-A和N)之间发现了强相关的相关性。然而,第五次公制与声光谱含量密切相关。此外,发现N的局部范围是表示声音时间内容的选项。这是第一次建立具有空间变异的心理声学度量的可预测性的研究。这些调查结果对环境声音质量评估和预测提供了新的洞察力。 (c)2020 elestvier有限公司保留所有权利。

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