Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks
Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the qualit...
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| 格式: | Online |
| 語言: | 英语 |
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Athabasca University Press
2021
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| 主題: | |
| 在線閱讀: | 27511 |
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| _version_ | 1869529844653490176 |
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| author | Michael R. W. Dawson |
| author_browse | Michael R. W. Dawson |
| author_facet | Michael R. W. Dawson |
| author_sort | Michael R. W. Dawson |
| collection | Directory of Open Access Books |
| description | Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the quality of a musical chord, the networks revealed formal musical properties that differ dramatically from those typically presented in music theory. For example, where Western music theory identifies twelve distinct notes or pitch-classes, trained artificial neural networks treat notes as if they belong to only three or four pitch-classes, a wildly different interpretation of the components of tonal music. Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of the internal structure of trained networks could yield important contributions to the field of music cognition. |
| format | Online |
| id | doab-20.500.12854ir-43847 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Athabasca University Press |
| publisherStr | Athabasca University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-438472024-03-29T08:01:48Z Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks Michael R. W. Dawson BF1-990 Western classical perceptrons extended chords circle of fifths scales tonal harmony Coltrane bic Book Industry Communication::J Society & social sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology Previously, artificial neural networks have been used to capture only the informal properties of music. However, cognitive scientist Michael Dawson found that by training artificial neural networks to make basic judgments concerning tonal music, such as identifying the tonic of a scale or the quality of a musical chord, the networks revealed formal musical properties that differ dramatically from those typically presented in music theory. For example, where Western music theory identifies twelve distinct notes or pitch-classes, trained artificial neural networks treat notes as if they belong to only three or four pitch-classes, a wildly different interpretation of the components of tonal music. Intended to introduce readers to the use of artificial neural networks in the study of music, this volume contains numerous case studies and research findings that address problems related to identifying scales, keys, classifying musical chords, and learning jazz chord progressions. A detailed analysis of the internal structure of trained networks could yield important contributions to the field of music cognition. 2021-02-11T10:26:12Z 2021-02-11T10:26:12Z 2018-08-29 23:26:41 2018 book 27511 9781771992206 9781771992220 9781771992213 https://directory.doabooks.org/handle/20.500.12854/43847 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://www.kobo.com/ca/en/ebook/connectionist-representations-of-tonal-music https://www.amazon.ca/Connectionist-Representations-Tonal-Music-Interpreting-ebook/dp/B07BR6P1X8/ref=sr_1_1?s=digital-text&ie=UTF8&qid=1522338613&sr=1-1&keywords=Connectionist+Representations+of+Tonal+Music http://www.aupress.ca/index.php/books/120273 Athabasca University Press 10.15215/aupress/9781771992206.01 10.15215/aupress/9781771992206.01 6b1b8af7-79e4-4b18-b297-b983df0f073f 9781771992206 9781771992220 9781771992213 312 open access |
| spellingShingle | BF1-990 Western classical perceptrons extended chords circle of fifths scales tonal harmony Coltrane bic Book Industry Communication::J Society & social sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology Michael R. W. Dawson Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks |
| title | Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks |
| title_full | Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks |
| title_fullStr | Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks |
| title_full_unstemmed | Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks |
| title_short | Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks |
| title_sort | connectionist representations of tonal music discovering musical patterns by interpreting artificial neural networks |
| topic | BF1-990 Western classical perceptrons extended chords circle of fifths scales tonal harmony Coltrane bic Book Industry Communication::J Society & social sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology |
| topic_facet | BF1-990 Western classical perceptrons extended chords circle of fifths scales tonal harmony Coltrane bic Book Industry Communication::J Society & social sciences::JM Psychology thema EDItEUR::J Society and Social Sciences::JM Psychology |
| url | 27511 |
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