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A cognitive framework for the categorisation of auditory objects in urban soundscapes

机译:城市声景中听觉对象分类的认知框架

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摘要

Categorisation is a fundamental cognitive process that plays a central role inudeveryday behaviour and action. Whereas previous studies have investigated theudcategorisation of isolated everyday sounds, this paper presents an experiment toudinvestigate the cognitive categorisation of everyday sounds within their originaludcontext. A group of eighteen expert and non-expert listeners took part in a freeudsorting task using 110 sounds identified within ambisonic reproductions of urbanudsoundscapes. The participants were asked to sort the objects into groups ofudsounds that served a similar purpose in the overall perception of the soundscape.udFollowing this, the participants were asked to provide descriptive labels for theudgroups they had formed. The results were analysed using hierarchical agglomerativeudclustering and non-metric multidimensional scaling (MDS) to exploreudboth the structure and dimensionality of the data. The resulting hierarchicaludclustering of objects show three top level categories relating to transient sounds,udcontinuous sounds, and speech and vocalisations. Sub-categories were identifiedudin each of the top level categories which included harmonic and non-harmonicudcontinuous sounds, clear speech, unintelligible speech, vocalisations, transientudsounds that indicate actions, and non-salient transient sounds. The first twouddimensions revealed by the MDS analysis relate to temporal extent and intelligibilityudrespectively. Interpretation of the third dimension is less clear, but may be related to harmonic content.
机译:分类是一个基本的认知过程,在日常行为和行动中起着核心作用。尽管以前的研究已经对孤立的日常声音的分类进行了研究,但本文提出了一项实验,以对原始声音的原始分类中的日常声音的认知分类进行研究。一组18位专业和非专业听众使用在城市 udsoundscapes的双音再现中识别出的110种声音参加了免费 udsort任务。要求参与者将对象分类为 uds声音组,在整个声景感知中起到类似的作用。 ud之后,要求参与者为他们形成的 udgroup提供描述性标签。使用层次集聚聚类和非度量多维标度(MDS)对结果进行了分析,以探索数据的结构和维数。最终得到的对象的层次聚类显示出与瞬时声音,非连续声音以及语音和发声相关的三个顶级类别。在每个顶级类别中都标识了子类别,包括和声和非谐音,不连续的声音,清晰的语音,难以理解的语音,发声,表示动作的瞬态 uds和非突出的瞬态声音。 MDS分析揭示的前两个维度与时间范围和清晰度有关。第三维的解释不太清楚,但可能与谐波含量有关。

著录项

  • 作者

    Woodcock JS; Davies WJ; Cox TJ;

  • 作者单位
  • 年度 2017
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类
  • 入库时间 2022-08-31 15:51:17

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