Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29310
Appears in Collections:Computing Science and Mathematics Technical Reports
Title: Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport
Author(s): Brownlee, Alexander
Kim, Suk-Jun
Wang, Szu-Han
Chan, Stella
Lawson, Jamie A
Contact Email: alexander.brownlee@stir.ac.uk
Citation: Brownlee A, Kim S, Wang S, Chan S & Lawson JA (2019) Crowd Sourcing The Sounds Of Places With A Web Based Genetic Algorithm Techreport. University of Stirling. Stirling.
Keywords: sound
soundscapes
human-in-the-loop
mood
Issue Date: 2019
Publisher: University of Stirling
Abstract: The sounds that we associate with particular places are tightly interwoven with our memories and sense of belonging. It is assumed that such an association is a complex process, and much of its mechanism is hidden from analytical examination. The association of sound to place has been much explored and examined by artistic approaches. For example, soundscape composition, which makes great use of recorded and barely-processed sounds from places in the compositional practice, highlights the power of the association. However, it does not offer us a scientific insight into its process, particularly, the role of familiarity of sounds people hear and their association to specific places. We describe a platform designed to assist in gathering the sounds that a group of people associate with a place. A web-based evolutionary algorithm, with human-in-the-loop fitness evaluations, ranks and recombines sounds to find collections that the group rates as familiar. An experiment involving independent groups of people associated with four geographical locations shows that the process does indeed find sounds deemed familiar by participants.
Type: Technical Report
URI: http://hdl.handle.net/1893/29310
Affiliation: Computing Science
University of Aberdeen
University of Edinburgh
University of Edinburgh
University of Aberdeen

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