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Research on soundscape identification - A case study in Shenzhen, China

Yu, L; Kang, J; Xing, C; (2019) Research on soundscape identification - A case study in Shenzhen, China. In: Proceedings of the 23rd International Congress on Acoustics: integrating 4th EAA Euroregio 2019: 9-13 September 2019 in Aachen, Germany. (pp. pp. 2552-2558). International Congress on Acoustics: Berlin, Germany. Green open access

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Abstract

Subjective evaluation of soundscape is much related with the sound sources. Due to ambiguous understanding of annoy perception of a noise, a large number of soundscapes were recorded. The study samples were obtained via intensive field works covering spatial and temporal variations of Shenzhen, China. Using Co-kriging method, information content of sound source to all soundscape samples was thoroughly analyzed. Forty-four typical sounds representing various sound sources in Shenzhen were gained. Experimental research was conducted to depict how various sounds influencing subjective evaluations, in which more than two hundred participants were involved. Five soundscape categories were got based on cluster analysis on subjective annoyance evaluations to forty-four typical sounds. It is found that soundscapes with more natural sounds were perceived less annoy whereas the ones having more mechanical sounds perceived more annoy; however, to some soundscapes containing more urban living sounds or hybrid sounds, subjective evaluations were not definite. A reason might be related with an individual's social and cultural background linking with former experiences from once happened incidents linking with social activities/functions.

Type: Proceedings paper
Title: Research on soundscape identification - A case study in Shenzhen, China
Event: 23rd International Congress on Acoustics
ISBN-13: 9783939296157
Open access status: An open access version is available from UCL Discovery
DOI: 10.18154/RWTH-CONV-239937
Publisher version: http://dx.doi.org/10.18154/RWTH-CONV-239937
Language: English
Additional information: © 2019 ICA. This is an Open Access article published under the terms of a Creative Commons license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode).
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery.ucl.ac.uk/id/eprint/10119765
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