Melodic segmentation: structure, cognition, algorithms
Segmentation of melodies into smaller units (phrases, themes, motifs, etc.) is an important process in both music analysis and music cognition. Also, segmentation is a necessary preprocessing step for various tasks in music information retrieval. Several algorithms for automatic segmentation have be...
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| Format: | Article |
| Language: | ces |
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Masaryk University, Faculty of Arts
2017-06-01
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| Series: | Musicologica Brunensia |
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| Online Access: | https://journals.phil.muni.cz/musicologica-brunensia/article/view/23871 |
| Summary: | Segmentation of melodies into smaller units (phrases, themes, motifs, etc.) is an important process in both music analysis and music cognition. Also, segmentation is a necessary preprocessing step for various tasks in music information retrieval. Several algorithms for automatic segmentation have been proposed, based on different music-theoretical backgrounds and computing approaches. Rule-based models operate on a given set of logical conditions. Learning-based models, originating in linguistics, compute segmentation criteria on the basis of statistical parameters of a training corpus and/or of the given composition. The aim of this preliminary study is to propose and describe a new segmentation algorithm that is rule-based, parsimonious, and unambiguous. |
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| ISSN: | 1212-0391 2336-436X |