Abstract The low frequency noise (LFN) from road traffic is a typical urban environmental noise pollution. It is difficult to be eliminated by traditional noise control techniques. Sound masking has been proved to be an available way to improve the noise perception. This study aims to explore the effect of music masking on LFN from the aspects of loudness and spectral centroid. One music clip, Butterfly Lovers, was separately played on five musical instruments to obtain five masking music sounds. The noise and the masking sounds were combined at the same sound pressure level to prepare the experiment signals. Twenty participants were recruited to evaluate the signals in the annoyance laboratory experiment. Results suggested that lower spectral centroid (SC) and lower equivalent continuous loudness (Neq) benefited the LFN annoyance reduction. The musical sound on harp reduced the annoyance mostly by 53.8%. Both SC and Neq were significantly correlated with annoyance reduction percentage. A relevant masking effect prediction model was established through binary regression analysis in terms of SC and Neq.

中文翻译：

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响度和谱质心对道路交通低频噪声音乐掩蔽的影响

摘要 道路交通低频噪声（LFN）是典型的城市环境噪声污染。传统的噪声控制技术难以消除。声音掩蔽已被证明是一种改善噪声感知的有效方法。本研究旨在从响度和频谱质心方面探讨音乐掩蔽对低频噪声的影响。一个音乐片段，蝴蝶恋人，分别在五种乐器上播放，以获得五种掩蔽音乐声音。噪声和掩蔽声音在相同的声压级下组合以准备实验信号。招募了 20 名参与者来评估烦恼实验室实验中的信号。结果表明，较低的频谱质心 (SC) 和较低的等效连续响度 (Neq) 有利于降低 LFN 烦恼。竖琴上的音乐声使烦扰度降低了 53.8%。SC 和 Neq 均与烦恼减少百分比显着相关。通过SC和Neq的二元回归分析，建立了相关的掩蔽效应预测模型。