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

dc.authorid Alimadhi, Enkela/0000-0003-4998-0268
dc.authorid Fasllija, Ela/0000-0002-5631-029X
dc.authorscopusid 56087154800
dc.authorscopusid 57219203473
dc.authorscopusid 58249190900
dc.authorscopusid 57222092602
dc.authorscopusid 57188809344
dc.authorscopusid 57222086260
dc.authorwosid Şahin, Zekiye/JLM-7811-2023
dc.authorwosid Alimadhi, Enkela/KHW-6203-2024
dc.authorwosid Fasllija, Ela/AAN-7467-2021
dc.contributor.author Yilmazer, Semiha
dc.contributor.author Fasllija, Ela
dc.contributor.author Alimadhi, Enkela
dc.contributor.author Sahin, Zekiye
dc.contributor.author Mercan, Elif
dc.contributor.author Dalirnaghadeh, Donya
dc.date.accessioned 2024-05-25T11:38:02Z
dc.date.available 2024-05-25T11:38:02Z
dc.date.issued 2023
dc.department Okan University en_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, Turkiye en_US
dc.description Alimadhi, Enkela/0000-0003-4998-0268; Fasllija, Ela/0000-0002-5631-029X en_US
dc.description.abstract This 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.citationcount 1
dc.identifier.doi 10.1016/j.apacoust.2023.109410
dc.identifier.issn 0003-682X
dc.identifier.issn 1872-910X
dc.identifier.scopus 2-s2.0-85159291831
dc.identifier.scopusquality Q1
dc.identifier.uri https://doi.org/10.1016/j.apacoust.2023.109410
dc.identifier.uri https://hdl.handle.net/20.500.14517/1240
dc.identifier.volume 209 en_US
dc.identifier.wos WOS:001002027700001
dc.identifier.wosquality Q1
dc.language.iso en
dc.publisher Elsevier Sci Ltd en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 6
dc.subject Soundscape en_US
dc.subject Turkish quality attributes en_US
dc.subject Corpus -driven Approach en_US
dc.subject Principal component analysis en_US
dc.subject Circumplex en_US
dc.subject Agglomerative Hierarchical Clustering en_US
dc.title A principal component model to identify Turkish soundscapes' affective attributes based on a Corpus-Driven Approach en_US
dc.type Article en_US
dc.wos.citedbyCount 6

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