Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/27670
Title: | Perception of emotion in vocal timbre: priming and likert scale datasets | Contributor(s): | Spreadborough, Kristal (creator) ; Anton-Mendez, Ines (supervisor) | Publication Date: | 2018 | DOI: | 10.6084/m9.figshare.7636886.v1 | Handle Link: | https://hdl.handle.net/1959.11/27670 | Related DOI: | 10.1177/0305735617753996 | Related Research Outputs: | https://hdl.handle.net/1959.11/29107 | Abstract/Context: | These files contain data gathered from experiments run by Kristal Spreadborough as part of her PhD thesis (submitted 2018). The thesis investigates vocal timbre and emotion, as outlined in the following brief thesis abstract: | Publication Type: | Dataset | Fields of Research (FOR): | 190409 Musicology and Ethnomusicology 200499 Linguistics not elsewhere classified |
Fields of Research (FoR) 2020: | 360303 Music education 470499 Linguistics not elsewhere classified |
Socio-Economic Objective (SEO): | 970117 Expanding Knowledge in Psychology and Cognitive Sciences 970120 Expanding Knowledge in Language, Communication and Culture 950101 Music |
Socio-Economic Objective (SEO) 2020: | 130102 Music 280121 Expanding knowledge in psychology |
HERDC Category Description: | X Dataset | Description: | This dataset is associated with the PhD thesis of Kristal Spreadborough, "Voices Within Voices: Developing a New Analytical Approach to Vocal Timbre by Examining the Interplay of Emotionally Valenced Vocal Timbres and Emotionally Valenced Lyrics", which is available here: https://hdl.handle.net/1959.11/29107. This file contains all the data associated with experiments run as part of thesis. Specifically, these files include forms, stimuli, scripts, data, and analysis for the three experiment conducted as part of Kristal Spreadborough's PhD. | Primary Contact Details: | Kristal Spreadborough - kristalspreadborough@gmail.com | Dataset Custodian Details: | Kristal Spreadborough - kristalspreadborough@gmail.com |
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Appears in Collections: | Dataset School of Humanities, Arts and Social Sciences |
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