Sliding-Window Pitch-Class Histograms as a Means of Modeling Musical Form
This study proposes a fine-tuned approach to modeling musical form in Classical repertoires by analyzing pitch-class distributions in symbolic data using machine learning algorithms. Results suggest that sliding-window histograms, which take the temporal component into account, palpably improve algo...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2021-12-01
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| Series: | Transactions of the International Society for Music Information Retrieval |
| Subjects: | |
| Online Access: | https://transactions.ismir.net/articles/83 |