Department of Mechanical Engineering, University of Cincinnati, 2600 Clifton Avenue, Cincinnati, Ohio 45221, USA.
J Acoust Soc Am. 2011 Mar;129(3):1475-81. doi: 10.1121/1.3533691.
Current noise guidelines use an energy-based noise metric to predict the risk of hearing loss, and thus ignore the effect of temporal characteristics of the noise. The practice is widely considered to underestimate the risk of a complex noise environment, where impulsive noises are embedded in a steady-state noise. A basic form for noise metrics is designed by combining the equivalent sound pressure level (SPL) and a temporal correction term defined as a function of kurtosis of the noise. Several noise metrics are developed by varying this basic form and evaluated utilizing existing chinchilla noise exposure data. It is shown that the kurtosis correction term significantly improves the correlation of the noise metric with the measured hearing losses in chinchillas. The average SPL of the frequency components of the noise that define the hearing loss with a kurtosis correction term is identified as the best noise metric among tested. One of the investigated metrics, the kurtosis-corrected A-weighted SPL, is applied to a human exposure study data as a preview of applying the metrics to human guidelines. The possibility of applying the noise metrics to human guidelines is discussed.
目前的噪声标准使用基于能量的噪声度量来预测听力损失的风险,因此忽略了噪声的时间特性的影响。这种做法被广泛认为低估了复杂噪声环境的风险,其中冲击噪声嵌入在稳态噪声中。通过将等效声压级 (SPL) 与定义为噪声峭度函数的时间校正项相结合,设计了噪声度量的基本形式。通过改变这种基本形式,开发了几种噪声度量,并利用现有的南美栗鼠噪声暴露数据进行了评估。结果表明,峭度校正项显著提高了噪声度量与南美栗鼠听力损失测量值之间的相关性。噪声度量的最佳频率分量的平均 SPL 是在具有峭度校正项的情况下定义听力损失的,这被确定为测试中最好的噪声度量。所研究的度量之一,即峭度校正的 A 加权 SPL,已应用于人类暴露研究数据,作为将度量应用于人类指南的预览。讨论了将噪声度量应用于人类指南的可能性。