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Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches
While mastering a musical instrument takes years, becoming familiar with a new music system requires less time and skills. In this study, we examine whether musically untrained Western listeners can incidentally learn an unfamiliar, microtonal musical scale from simply engaging in a timbre discrimin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117015/ https://www.ncbi.nlm.nih.gov/pubmed/30161174 http://dx.doi.org/10.1371/journal.pone.0203026 |
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author | Leung, Yvonne Dean, Roger Thornton |
author_facet | Leung, Yvonne Dean, Roger Thornton |
author_sort | Leung, Yvonne |
collection | PubMed |
description | While mastering a musical instrument takes years, becoming familiar with a new music system requires less time and skills. In this study, we examine whether musically untrained Western listeners can incidentally learn an unfamiliar, microtonal musical scale from simply engaging in a timbre discrimination task. The experiment is comprised of an Exposure and a Test phase. During Exposure, 21 non-musicians were instructed to detect a timbre shift (TS) within short microtonal melodies, and we hypothesised that they would incidentally learn about the pitch interval structure of the microtonal scale from attending to the melodies during the task. In a follow-up Test phase, the tone before the TS was either a member (congruent) or a non-member (incongruent) of the scale. Based on our statistical manipulation of the stimuli, incongruent tones would be a better predictor of an incoming TS than the congruent tones. We therefore expect a faster response time to the shift after the participants have heard an incongruent tone. Specifically, a faster response time observed after an incongruent tone would imply participants’ ability to differentiate tones from the microtonal and the diatonic scale, and reflect their learning of the microtonal pitch intervals. Results are consistent with our predictions. In investigating the learning of a microtonal scale, our study can offer directions for future research on the perception of computer music and new musical genres. |
format | Online Article Text |
id | pubmed-6117015 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-61170152018-09-16 Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches Leung, Yvonne Dean, Roger Thornton PLoS One Research Article While mastering a musical instrument takes years, becoming familiar with a new music system requires less time and skills. In this study, we examine whether musically untrained Western listeners can incidentally learn an unfamiliar, microtonal musical scale from simply engaging in a timbre discrimination task. The experiment is comprised of an Exposure and a Test phase. During Exposure, 21 non-musicians were instructed to detect a timbre shift (TS) within short microtonal melodies, and we hypothesised that they would incidentally learn about the pitch interval structure of the microtonal scale from attending to the melodies during the task. In a follow-up Test phase, the tone before the TS was either a member (congruent) or a non-member (incongruent) of the scale. Based on our statistical manipulation of the stimuli, incongruent tones would be a better predictor of an incoming TS than the congruent tones. We therefore expect a faster response time to the shift after the participants have heard an incongruent tone. Specifically, a faster response time observed after an incongruent tone would imply participants’ ability to differentiate tones from the microtonal and the diatonic scale, and reflect their learning of the microtonal pitch intervals. Results are consistent with our predictions. In investigating the learning of a microtonal scale, our study can offer directions for future research on the perception of computer music and new musical genres. Public Library of Science 2018-08-30 /pmc/articles/PMC6117015/ /pubmed/30161174 http://dx.doi.org/10.1371/journal.pone.0203026 Text en © 2018 Leung, Dean http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Leung, Yvonne Dean, Roger Thornton Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches |
title | Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches |
title_full | Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches |
title_fullStr | Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches |
title_full_unstemmed | Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches |
title_short | Learning unfamiliar pitch intervals: A novel paradigm for demonstrating the learning of statistical associations between musical pitches |
title_sort | learning unfamiliar pitch intervals: a novel paradigm for demonstrating the learning of statistical associations between musical pitches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6117015/ https://www.ncbi.nlm.nih.gov/pubmed/30161174 http://dx.doi.org/10.1371/journal.pone.0203026 |
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