A principal components model of soundscape perception

A principal components model of soundscape perception
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DOI:
10.1121/1.3493436
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发表时间:
2010-11-01
影响因子:
2.4
通讯作者:
Berglund, Birgitta
Berglund, Birgitta
中科院分区:
物理与天体物理3区
文献类型:
--
作者:
Axelsson, Oesten;Nilsson, Mats E.;Berglund, Birgitta

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有必要建立一个模型,识别声景感知的基本维度,并指导测量和改善声景质量。为了建立这样一个模型,我们进行了一个听力实验。100名听众测量了50个城市户外音景的双耳录音摘录,116个属性尺度。平均属性规模值进行主成分分析,导致三个组成部分:愉快,事件,熟悉,解释50%,18%和6%的总方差,分别。主成分得分与物理声景属性,包括占主导地位的声音和声学变量的类别。技术声音为主的声景摘录被认为是不愉快的,而自然声音为主的声景摘录是愉快的,和人类声音为主的声景摘录是多事的。这些关系仍然控制后的整体声景响度(Zwicker的N-10),这表明,“信息”的属性是实质性的贡献者的感知声景。主成分模型为今后声景观的研究和实践提供了一个框架。特别是,它提出了哪些基本维度是必要的测量,如何测量它们的一组定义的属性尺度,以及如何促进高质量的音景。(C)2010年美国声学学会。[DOI:10.1121/1.3493436]
There is a need for a model that identifies underlying dimensions of soundscape perception, and which may guide measurement and improvement of soundscape quality. With the purpose to develop such a model, a listening experiment was conducted. One hundred listeners measured 50 excerpts of binaural recordings of urban outdoor soundscapes on 116 attribute scales. The average attribute scale values were subjected to principal components analysis, resulting in three components: Pleasantness, eventfulness, and familiarity, explaining 50, 18 and 6% of the total variance, respectively. The principal-component scores were correlated with physical soundscape properties, including categories of dominant sounds and acoustic variables. Soundscape excerpts dominated by technological sounds were found to be unpleasant, whereas soundscape excerpts dominated by natural sounds were pleasant, and soundscape excerpts dominated by human sounds were eventful. These relationships remained after controlling for the overall soundscape loudness (Zwicker's N-10), which shows that 'informational' properties are substantial contributors to the perception of soundscape. The proposed principal components model provides a framework for future soundscape research and practice. In particular, it suggests which basic dimensions are necessary to measure, how to measure them by a defined set of attribute scales, and how to promote high-quality soundscapes. (C) 2010 Acoustical Society of America. [DOI: 10.1121/1.3493436]