A principal component model to identify Turkish soundscapes' affective attributes based on a Corpus-Driven Approach

dc.authoridAlimadhi, Enkela/0000-0003-4998-0268
dc.authoridFasllija, Ela/0000-0002-5631-029X
dc.authorscopusid56087154800
dc.authorscopusid57219203473
dc.authorscopusid58249190900
dc.authorscopusid57222092602
dc.authorscopusid57188809344
dc.authorscopusid57222086260
dc.authorwosidŞahin, Zekiye/JLM-7811-2023
dc.authorwosidAlimadhi, Enkela/KHW-6203-2024
dc.authorwosidFasllija, Ela/AAN-7467-2021
dc.contributor.authorYilmazer, Semiha
dc.contributor.authorFasllija, Ela
dc.contributor.authorAlimadhi, Enkela
dc.contributor.authorSahin, Zekiye
dc.contributor.authorMercan, Elif
dc.contributor.authorDalirnaghadeh, Donya
dc.contributor.otherMimarlık / Architecture
dc.date.accessioned2024-05-25T11:38:02Z
dc.date.available2024-05-25T11:38:02Z
dc.date.issued2023
dc.departmentOkan Universityen_US
dc.department-temp[Yilmazer, Semiha; Fasllija, Ela; Alimadhi, Enkela; Sahin, Zekiye; Mercan, Elif; Dalirnaghadeh, Donya] Bilkent Univ, Dept Interior Architecture & Environm Design, Ankara, Turkiye; [Dalirnaghadeh, Donya] Istanbul Okan Univ, Dept Interior Architecture & Environm Design, Istanbul, Turkiyeen_US
dc.descriptionAlimadhi, Enkela/0000-0003-4998-0268; Fasllija, Ela/0000-0002-5631-029Xen_US
dc.description.abstractThis study focused on achieving linguistic and culturally appropriate equivalents of Turkish soundscape attributes present in ISO 12913-3 by incorporating a Corpus-Driven Approach (CDA). A two-phase exper-iment was set up to find Turkish equivalents of affective quality attributes. The first phase consisted of the formation of a Corpus. An online questionnaire was prepared and sent to 196 native Turkish speakers from all around Turkiye to define adjectives. The second phase of the experiment was performed in a lis-tening room. For this purpose, twenty-four binaural sound recordings were collected from seven public spaces. Afterward, forty individuals evaluated the recordings by using the attributes from Phase 1. The perceptual dimensions were obtained from the generated corpus in Turkish based on a rating scale by applying the Principal Component Analysis (PCA). Results indicated a two-dimensional model with two main components, Pleasantness and Eventfulness. Each component is associated with a main orthog-onal axis denoted by 'annoying-comfortable' and 'dynamic-uneventful,' respectively. This circular orga-nization of soundscape attributes is supported by two derived axes, namely 'chaotic-calm' and 'monotonous-enjoyable', rotated 45 degrees on the same plane. Additionally, by using Spearman's rank correla-tion coefficient, sixty-four different bipolar adjective pairs were found. The adjective pairs showed that the highest correlations are mainly on the pleasant-unpleasant continuum, namely Component 1 of PCA. The collected data were also analyzed using Agglomerative Hierarchical Cluster analysis with the Ward method in R programming language to cluster the adjectives. The results inferred that there are four top-level categories. From the first to the fourth level, categories consisted of pleasant, uneventful, eventful, and annoying adjectives, respectively. Moreover, the terms grouped on the first cluster found their dichotomous on the fourth cluster, while maintaining the same relationship in the pleasant -unpleasant continuum.(c) 2023 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citation1
dc.identifier.doi10.1016/j.apacoust.2023.109410
dc.identifier.issn0003-682X
dc.identifier.issn1872-910X
dc.identifier.scopus2-s2.0-85159291831
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.apacoust.2023.109410
dc.identifier.urihttps://hdl.handle.net/20.500.14517/1240
dc.identifier.volume209en_US
dc.identifier.wosWOS:001002027700001
dc.identifier.wosqualityQ1
dc.institutionauthorDalırnaghadeh, Donya
dc.language.isoen
dc.publisherElsevier Sci Ltden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectSoundscapeen_US
dc.subjectTurkish quality attributesen_US
dc.subjectCorpus -driven Approachen_US
dc.subjectPrincipal component analysisen_US
dc.subjectCircumplexen_US
dc.subjectAgglomerative Hierarchical Clusteringen_US
dc.titleA principal component model to identify Turkish soundscapes' affective attributes based on a Corpus-Driven Approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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