Using audio content and emotional response to predict soundscape perception through machine learning

buir.contributor.authorYılmazer, Semiha
buir.contributor.authorAcun, Volkan
buir.contributor.orcidYılmazer, Semiha|0000-0001-9522-1102
buir.contributor.orcidAcun, Volkan|0000-0001-9819-0233
dc.citation.issueNumber3
dc.citation.volumeNumber153
dc.contributor.authorYılmazer, Semiha
dc.contributor.authorAcun, Volkan
dc.date.accessioned2024-04-02T16:07:33Z
dc.date.available2024-04-02T16:07:33Z
dc.date.issued2023-03
dc.departmentDepartment of Interior Architecture and Environmental Design
dc.identifier.doi10.1121/10.0018785
dc.identifier.eissn1520-8524
dc.identifier.issn0001-4966
dc.language.isoEnglish
dc.publisherAcoustical Soc Amer Amer Inst Physics
dc.relation.isversionofhttps://doi.org/10.1121/10.0018785
dc.rightsCC BY 4.0 DEED (Attribution 4.0 International)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.source.titleJournal of the Acoustical Society of America
dc.titleUsing audio content and emotional response to predict soundscape perception through machine learning
dc.typeArticle
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