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Connectionist Representations of Tonal Music: Discovering Musical Patterns by Interpreting Artificial Neural Networks
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
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Athabasca University Press.,
2018
- Collation
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312
- Language
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English
- ISBN/ISSN
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9781771992206, 9781771992220
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NONE
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text
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computer
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online resource
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Other Information
- Cataloger
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Angga
- Source
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- Validator
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- Digital Object Identifier (DOI)
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https://directory.doabooks.org/handle/20.500.12854/43847
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