Crowd-sourcing the sounds of places with a web-based evolutionary algorithm

Alexander E. I. Brownlee, Suk-jun Kim, Szu-han Wang, Stella Chan, Jamie A. Lawson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

The sounds we associate with particular places are tightly interwoven with our memories and sense of belonging. We describe a platform designed to assist in gathering the sounds 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 ind collections that the group rates as familiar. An experiment covering four geographical locations shows that the process does indeed ind sounds deemed familiar by participants.
Original languageEnglish
Title of host publicationGECCO '19 Proceedings of the Genetic and Evolutionary Computation Conference Companio
EditorsManuel López-Ibáñez , Anne Auger, Thomas Stützle
PublisherACM
Pages131-132
ISBN (Print)9781450367486
DOIs
Publication statusPublished - 13 Jul 2019
Eventthe Genetic and Evolutionary Computation Conference Companion - Prague, Czech Republic
Duration: 13 Jul 201917 Jul 2019

Conference

Conferencethe Genetic and Evolutionary Computation Conference Companion
Period13/07/1917/07/19

Keywords / Materials (for Non-textual outputs)

  • sound
  • soundscapes
  • human in the loop
  • mood

Fingerprint

Dive into the research topics of 'Crowd-sourcing the sounds of places with a web-based evolutionary algorithm'. Together they form a unique fingerprint.

Cite this