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首页> 外文期刊>Acta acustica united with acustica >Short-Term Annoyance Due to Tramway Noise: Determination of an Acoustical Indicator of Annoyance Via Multilevel Regression Analysis
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Short-Term Annoyance Due to Tramway Noise: Determination of an Acoustical Indicator of Annoyance Via Multilevel Regression Analysis

机译：电车轨道噪声引起的短期烦恼：通过多级回归分析确定烦恼的声学指标

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摘要

The tramway is a source of noise annoyance. Noise exposure levels proved not to be sufficient to account for this annoyance. Other acoustical factors linked to temporal and frequency features could further explain noise annoyance. Using a psychoacoustical approach, this study aims at determining an acoustical indicator of short-term annoyance due to tramway noise. A laboratory experiment is carried out in order to identify and characterize the influential acoustical factors. Subjects are asked to rate the short-term annoyance caused by 61 tramway pass-by noises, recorded in situ for different operating situations. A psychoacoustical analysis using verbalization task data and the annoyance data shows that the overall level, the irregular / continuous character and the bass / treble character of tramway noises influence noise annoyance. These acoustical features are taken into account through the following indices: the A-weighted equivalent sound pressure level (L_(A,eq,T)), the variance of time-varying A-weighted pressure normalized by RMS A-weighted pressure (VAP) and a proposed index, the total energy of the tonal components within critical bands from 12 to 24 Barks (TETC). A multilevel regression model combining L_(A,eq,T) and TETC proves to be satisfactory to account for short-term annoyance due to tramway noise.
机译：电车轨道是噪音的来源。事实证明，噪声暴露水平不足以解决这一烦恼。与时间和频率特征相关的其他声学因素可以进一步解释噪声的烦恼。本研究采用心理声学方法，旨在确定由于电车轨道噪声而引起的短期烦恼的声学指标。为了识别和表征影响的声学因素，进行了实验室实验。要求受试者对由61种电车通过噪音引起的短期烦恼进行评分，这些噪音是针对不同的操作情况在现场记录的。使用言语任务数据和烦扰数据的心理声学分析表明，电车噪声的整体水平，不规则/连续性和低音/高音性会影响噪声烦扰。通过以下指标考虑了这些声学特征：A加权等效声压级（L_（A，eq，T）），时均A加权压力的方差由RMS A加权压力（VAP）归一化）和建议的指标，即从12到24吠声（TETC）的关键频带内音调成分的总能量。结合L_（A，eq，T）和TETC的多级回归模型被证明可以令人满意地解决电车噪声引起的短期烦恼。

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