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Sound quality evaluation of air-conditioner noise based on factors of the autocorrelation function

机译:基于自相关函数因素的空调噪声声品质评估

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The aim of this paper is to clarify the characteristics of air-conditioner noise and determine the factor that is most influential on the subjective annoyance caused by this noise. The A-weighted equivalent continuous sound pressure level (L-Aeq) and factors extracted from the autocorrelation function (ACF) were analyzed. Subjective annoyance was evaluated using a paired comparison method. Multiple regression analyses were performed using a linear combination of LAeq, the ACF factors, and their standard deviations (SDs). The results indicated that the noise characteristics caused by each air conditioner and each operating level are determined by LAeq, and by the width of the first decay of the ACF, W-phi(o), which corresponds to the spectral centroid. The multiple regression analyses indicated that the total subjective annoyance caused by air-conditioner noise can be predicted using the delay time and amplitude of the first maximum peak of the ACF (tau(1) and phi(1)) and the SD of phi(1) Annoyance was found to increase with decreasing tau(1) and phi(1), and with increasing phi(1) SD, suggesting that noise components with higher pitches, weaker pitch strengths, and larger pitch strength variations cause greater levels of annoyance. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文的目的是弄清空调噪声的特征,并确定对该噪声引起的主观烦恼影响最大的因素。分析了A加权等效连续声压级(L-Aeq)和从自相关函数(ACF)中提取的因子。使用配对比较方法评估主观烦恼。使用LAeq,ACF因子及其标准偏差(SD)的线性组合进行多元回归分析。结果表明,由每个空调器和每个运行级别引起的噪声特性由LAeq决定,并由ACF的第一个衰减宽度W-phi(o)决定,该宽度对应于频谱质心。多元回归分析表明,可以使用ACF的第一个最大峰值的延迟时间和幅度(tau(1)和phi(1))和phi(的SD)来预测空调噪声引起的总主观烦恼。 1)发现烦恼随着tau(1)和phi(1)的减少以及phi(1)SD的增加而增加,这表明具有较高音调,较弱的音调强度和较大的音调强度变化的噪声分量会导致较大的烦恼水平。 。 (C)2017 Elsevier Ltd.保留所有权利。

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