Towards a topological fingerprint of music
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 9667, Page: 88-100
2016
- 6Citations
- 21Captures
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Conference Paper Description
Can music be represented as a meaningful geometric and topological object? In this paper, we propose a strategy to describe some music features as a polyhedral surface obtained by a simplicial interpretation of the Tonnetz. The Tonnetz is a graph largely used in computational musicology to describe the harmonic relationships of notes in equal tuning. In particular, we use persistent homology in order to describe the persistent properties of music encoded in the aforementioned model. Both the relevance and the characteristics of this approach are discussed by analyzing some paradigmatic compositional styles. Eventually, the task of automatic music style classification is addressed by computing the hierarchical clustering of the topological fingerprints associated with some collections of compositions.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84977507127&origin=inward; http://dx.doi.org/10.1007/978-3-319-39441-1_9; http://link.springer.com/10.1007/978-3-319-39441-1_9; http://link.springer.com/content/pdf/10.1007/978-3-319-39441-1_9; https://dx.doi.org/10.1007/978-3-319-39441-1_9; https://link.springer.com/chapter/10.1007/978-3-319-39441-1_9
Springer Science and Business Media LLC
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