OC Bones
Sound categories : category formation and evidence-based taxonomies
Bones, OC; Cox, TJ; Davies, WJ
Authors
Abstract
Five evidence-based taxonomies of everyday sounds frequently reported in the soundscape literature have been generated. An online sorting and category-labelling method that elicits rather than prescribes descriptive words was used. A total of N=242 participants took part. The main categories of the soundscape taxonomy were people, nature, and manmade, with each dividing into further categories. Sounds within the nature and manmade categories, and two further individual sound sources, dogs and engines, were explored further by repeating the procedure using multiple exemplars. By generating multidimensional spaces containing both sounds and the spontaneously generated descriptive words the procedure allows for the interpretation of the psychological dimensions along which sounds are organized. This reveals how category formation is based upon different cues - sound source-event identification, subjective-states, and explicit assessment of the acoustic signal - in different contexts. At higher levels of the taxonomy the majority of words described sound source-events. In contrast, when categorizing dog sounds a greater proportion of the words described subjective-states, and valence and arousal scores of these words correlated with their coordinates along the first two dimensions of the data. This is consistent with valence and arousal judgements being the primary categorization strategy used for dog sounds. In contrast, when categorizing engine sounds a greater proportion of the words explicitly described the acoustic signal. The coordinates of sounds along the first two dimensions were found to correlate with fluctuation strength and sharpness, consistent with explicit assessment of acoustic signal features underlying category formation for engine sounds. By eliciting descriptive words the method makes explicit the subjective meaning of these judgements based upon valence and arousal and acoustic properties, and the results demonstrate distinct strategies being spontaneously used to categorize different types of sounds.
Citation
Bones, O., Cox, T., & Davies, W. (2018). Sound categories : category formation and evidence-based taxonomies. Frontiers in Psychology, 9, #1277. https://doi.org/10.3389/fpsyg.2018.01277
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 4, 2018 |
Online Publication Date | Jul 30, 2018 |
Publication Date | Jul 30, 2018 |
Deposit Date | Jul 10, 2018 |
Publicly Available Date | Aug 1, 2018 |
Journal | Frontiers in Psychology |
Electronic ISSN | 1664-1078 |
Publisher | Frontiers Media |
Volume | 9 |
Pages | #1277 |
DOI | https://doi.org/10.3389/fpsyg.2018.01277 |
Publisher URL | https://doi.org/10.3389/fpsyg.2018.01277 |
Related Public URLs | https://www.frontiersin.org/journals/psychology |
Additional Information | Funders : Engineering and Physical Sciences Research Council (EPSRC) Grant Number: EP/N014111/1 |
Files
fpsyg-09-01277.pdf
(3.2 Mb)
PDF
Licence
http://creativecommons.org/licenses/by/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Generalisation in environmental sound classification : the ‘making sense of sounds’ data set and challenge
(2019)
Presentation / Conference
Congenital amusics use a secondary pitch mechanism to identify lexical tones
(2017)
Journal Article
An evidence-based soundscape taxonomy
(2017)
Presentation / Conference
Clang, chitter, crunch : perceptual organisation of onomatopoeia
(2017)
Journal Article
Toward an evidence-based taxonomy of everyday sounds
(2016)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search