期刊
APPLIED ACOUSTICS
卷 121, 期 -, 页码 56-64出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.apacoust.2017.01.027
关键词
Soundscapes; Auditory objects; Categorisation; Everyday sounds
类别
资金
- EPSRC Programme Grant S3A: Future Spatial Audio for an Immersive Listener Experience at Home [EP/L000539/1]
- BBC as part of the BBC Audio Research Partnership
- EPSRC [EP/L000539/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/L000539/1] Funding Source: researchfish
Categorisation is a fundamental cognitive process that plays a central role in everyday behaviour and action. Whereas previous studies have investigated the categorisation of isolated everyday sounds, this paper presents an experiment to investigate the cognitive categorisation of everyday sounds within their original context. A group of eighteen expert and non-expert listeners took part in a free sorting task using 110 sounds identified within ambisonic reproductions of urban soundscapes. The participants were asked to sort the objects into groups of sounds that served a similar purpose in the overall perception of the soundscape. Following this, the participants, were asked to provide descriptive labels for the groups they had formed. The results were analysed using hierarchical agglomerative clustering and non-metric multidimensional scaling(MDS) to explore both the structure and dimensionality of the data. The resulting hierarchical clustering of objects show three top level categories relating to transient sounds, continuous sounds, and speech and vocalisations. Sub-categories were identified in each of the top level categories which included harmonic and non-harmonic continuous sounds, clear speech, unintelligible speech, vocalisations, transient sounds that indicate actions, and non-salient transient sounds. The first two dimensions revealed by the MDS analysis relate to temporal extent and intelligibility respectively. Interpretation of the third dimension is less clear, but may be related to harmonic content. (C) 2017 The Authors. Published by Elsevier Ltd.
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