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Vocal similarity predicts the relative attraction of musical chords

Musical chords are combinations of two or more tones played together. While many different chords are used in music, some are heard as more attractive (consonant) than others. We have previously suggested that, for reasons of biological advantage, human tonal preferences can be understood in terms o...

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Detalles Bibliográficos
Autores principales: Bowling, Daniel L., Purves, Dale, Gill, Kamraan Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5776805/
https://www.ncbi.nlm.nih.gov/pubmed/29255031
http://dx.doi.org/10.1073/pnas.1713206115
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author Bowling, Daniel L.
Purves, Dale
Gill, Kamraan Z.
author_facet Bowling, Daniel L.
Purves, Dale
Gill, Kamraan Z.
author_sort Bowling, Daniel L.
collection PubMed
description Musical chords are combinations of two or more tones played together. While many different chords are used in music, some are heard as more attractive (consonant) than others. We have previously suggested that, for reasons of biological advantage, human tonal preferences can be understood in terms of the spectral similarity of tone combinations to harmonic human vocalizations. Using the chromatic scale, we tested this theory further by assessing the perceived consonance of all possible dyads, triads, and tetrads within a single octave. Our results show that the consonance of chords is predicted by their relative similarity to voiced speech sounds. These observations support the hypothesis that the relative attraction of musical tone combinations is due, at least in part, to the biological advantages that accrue from recognizing and responding to conspecific vocal stimuli.
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spelling pubmed-57768052018-01-23 Vocal similarity predicts the relative attraction of musical chords Bowling, Daniel L. Purves, Dale Gill, Kamraan Z. Proc Natl Acad Sci U S A Biological Sciences Musical chords are combinations of two or more tones played together. While many different chords are used in music, some are heard as more attractive (consonant) than others. We have previously suggested that, for reasons of biological advantage, human tonal preferences can be understood in terms of the spectral similarity of tone combinations to harmonic human vocalizations. Using the chromatic scale, we tested this theory further by assessing the perceived consonance of all possible dyads, triads, and tetrads within a single octave. Our results show that the consonance of chords is predicted by their relative similarity to voiced speech sounds. These observations support the hypothesis that the relative attraction of musical tone combinations is due, at least in part, to the biological advantages that accrue from recognizing and responding to conspecific vocal stimuli. National Academy of Sciences 2018-01-02 2017-12-18 /pmc/articles/PMC5776805/ /pubmed/29255031 http://dx.doi.org/10.1073/pnas.1713206115 Text en Copyright © 2017 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Bowling, Daniel L.
Purves, Dale
Gill, Kamraan Z.
Vocal similarity predicts the relative attraction of musical chords
title Vocal similarity predicts the relative attraction of musical chords
title_full Vocal similarity predicts the relative attraction of musical chords
title_fullStr Vocal similarity predicts the relative attraction of musical chords
title_full_unstemmed Vocal similarity predicts the relative attraction of musical chords
title_short Vocal similarity predicts the relative attraction of musical chords
title_sort vocal similarity predicts the relative attraction of musical chords
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5776805/
https://www.ncbi.nlm.nih.gov/pubmed/29255031
http://dx.doi.org/10.1073/pnas.1713206115
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