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不同降噪条件下铁路噪声的心理声学因素与烦恼度之间的关系。

The relation between psychoacoustical factors and annoyance under different noise reduction conditions for railway noise.

作者信息

Kasess Christian H, Maly Thomas, Majdak Piotr, Waubke Holger

机构信息

Acoustics Research Institute, Austrian Academy of Sciences, Wohllebengasse 12-14, A-1040 Vienna, Austria.

Research Center of Railway Engineering, Traffic Economics and Ropeways, Institute of Transportation, Vienna University of Technology, Karlsplatz 13/230-2, A-1040 Vienna, Austria.

出版信息

J Acoust Soc Am. 2017 May;141(5):3151. doi: 10.1121/1.4982878.

Abstract

The A-weighted sound pressure level (SPL) is commonly used to assess the effect of noise reduction measures on noise-induced annoyance. While for road traffic noise loudness seems to be a better descriptor of annoyance, for railway noise a systematic investigation seems to be lacking. Thus, in this study, the relation between annoyance and perceptually motivated descriptors was investigated for various conditions of binaural recordings of pass-bys of cargo and passenger trains. The conditions included free field and spectral mitigations caused by a 4 m high noise barrier, a 1 m high noise barrier close to the track, and rail dampers. Forty listeners performed a free magnitude estimation of annoyance for different presentation levels and the ratings were fit to various models. Further, level changes required to evoke a noticeable change in annoyance (annoyance thresholds) were acquired. The models based on the A-weighted SPL explained the ratings and thresholds better when the reduction measure was explicitly provided as a parameter. However, the optimal models were loudness-level-based models, which were able to better describe the annoyance, even independently of the reduction measure. Both experiments underline the effectiveness of loudness when describing the annoyance in the area of railway noise reduction.

摘要

A加权声压级(SPL)通常用于评估降噪措施对噪声引起的烦恼的影响。虽然对于道路交通噪声,响度似乎是烦恼程度的更好描述指标,但对于铁路噪声,似乎缺乏系统的研究。因此,在本研究中,针对货运列车和客运列车驶过的双耳录音的各种条件,研究了烦恼与感知驱动描述指标之间的关系。这些条件包括自由场以及由4米高的隔音屏障、靠近轨道的1米高隔音屏障和轨道减震器引起的频谱缓解。40名听众对不同呈现水平的烦恼进行了自由量级估计,并将评分拟合到各种模型中。此外,还获取了引起烦恼明显变化所需的声级变化(烦恼阈值)。当明确将降噪措施作为参数提供时,基于A加权SPL的模型能更好地解释评分和阈值。然而,最优模型是基于响度级的模型,即使与降噪措施无关,也能够更好地描述烦恼程度。这两个实验都强调了响度在描述铁路降噪领域的烦恼程度时的有效性。

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