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Merging physical parameters and laboratory subjective ratings for the soundscape assessment of urban squares

机译:合并物理参数和实验室主观评级,以评估城市广场的声景

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An experimental study was carried out in 20 squares in the center of Rome, covering a wide range of different uses, sonic environments, geometry, and architectural styles. Soundwalks along the perimeter of each square were performed during daylight and weekdays taking binaural and video recordings, as well as spot measurements of illuminance. The cluster analysis performed on the physical parameters, not only acoustic, provided two clusters that are in satisfactory agreement with the "a priori" classification. Applying the principal component analysis (PCA) to five physical parameters, two main components were obtained which might be associated to two environmental features, namely, "chaotic/calm" and "open/enclosed." On the basis of these two features, six squares were selected for the laboratory audio-video tests where 32 subjects took part filling in a questionnaire. The PCA performed on the subjective ratings on the sonic environment showed two main components which might be associated to two emotional meanings, namely, "calmness" and "vibrancy." The linear regression modeling between five objective parameters and the mean value of subjective ratings on chaotic/calm and enclosed/open attributes showed a good correlation. Notwithstanding these interesting results being limited to the specific data set, it is worth pointing out that the complexity of the soundscape quality assessment can be more comprehensively examined merging the field measurements of physical parameters with the subjective ratings provided by field and/or laboratory tests.
机译:在罗马市中心的20个广场上进行了一项实验研究,涵盖了广泛的不同用途,声音环境,几何形状和建筑风格。在白天和平日进行双耳和视频录音,以及照度的现场测量,沿着每个方格的周边进行声音漫步。对物理参数(不仅是声学参数)执行的聚类分析提供了两个与“先验”分类令人满意的聚类。将主成分分析(PCA)应用于五个物理参数,获得了两个主要成分,它们可能与两个环境特征相关,即“混乱/平静”和“开放/封闭”。基于这两个特征,选择了六个方格进行实验室音像测试,其中32位受试者参与了问卷调查。对声音环境的主观评价进行的PCA显示出两个主要成分,它们可能与两种情感含义相关联,即“镇静”和“活力”。五个客观参数与混沌/平静和封闭/开放属性的主观评价平均值之间的线性回归模型显示出良好的相关性。尽管这些有趣的结果仅限于特定的数据集,但值得指出的是,可以将物理参数的现场测量值与现场和/或实验室测试提供的主观评级相结合,从而更全面地检查音景质量评估的复杂性。

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