A model of large-scale thematic structure
| dc.contributor.author | Hall, ETR | |
| dc.contributor.author | Pearce, MT | |
| dc.date.accessioned | 2021-07-23T10:41:28Z | |
| dc.date.available | 2021-07-23T10:41:28Z | |
| dc.date.issued | 2021-05-27 | |
| dc.identifier.issn | 0929-8215 | |
| dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/73213 | |
| dc.description.abstract | The coherent organisation of thematic material into large-scale structures within a composition is an important concept in both traditional and cognitive theories of music. However, empirical evidence supporting their perception is scarce. Providing a more nuanced approach, this paper introduces a computational model of hypothesised cognitive mechanisms underlying perception of large-scale thematic structure. Repetition detection based on statistical learning forms the model's foundation, hypothesising that predictability arising from repetition creates perceived thematic coherence. Measures are produced that characterise structural properties of a corpus of 623 monophonic compositions. Exploratory analysis reveals the extent to which these measures vary systematically and independently. | en_US |
| dc.format.extent | 220 - 241 | |
| dc.language | en | |
| dc.publisher | Informa UK Limited | en_US |
| dc.relation.ispartof | Journal of New Music Research | |
| dc.rights | This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. | |
| dc.rights | Attribution 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
| dc.title | A model of large-scale thematic structure | en_US |
| dc.type | Article | en_US |
| dc.rights.holder | © 2021, The Author(s) | |
| dc.identifier.doi | 10.1080/09298215.2021.1930062 | |
| pubs.issue | 3 | en_US |
| pubs.notes | Not known | en_US |
| pubs.publication-status | Published | en_US |
| pubs.volume | 50 | en_US |
| rioxxterms.funder | Default funder | en_US |
| rioxxterms.identifier.project | Default project | en_US |
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Except where otherwise noted, this item's license is described as This item is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
