Overview
- Novator and original work in the field of topological musical data analysis
- First work that combine persistent homology and the discrete Fourier transform
- Various musical applications: shape recognition (Tonnetze), style classification, songs harmonization, textures analysis
Part of the book series: Computational Music Science (CMS)
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About this book
This book proposes contributions to various problems in the field of topological analysis of musical data: the objects studied are scores represented symbolically by MIDI files, and the tools used are the discrete Fourier transform and persistent homology. The manuscript is divided into three parts: the first two are devoted to the study of the aforementioned mathematical objects and the implementation of the model. More precisely, the notion of DFT introduced by Lewin is generalized to the case of dimension two, by making explicit the passage of a musical bar from a piece to a subset of Z/tZ×Z/pZ, which leads naturally to a notion of metric on the set of musical bars by their Fourier coefficients. This construction gives rise to a point cloud, to which the filtered Vietoris-Rips complex is associated, and consequently a family of barcodes given by persistent homology. This approach also makes it possible to generalize classical results such as Lewin's lemma and Babitt's Hexachord theorem. The last part of this book is devoted to musical applications of the model: the first experiment consists in extracting barcodes from artificially constructed scores, such as scales or chords. This study leads naturally to song harmonization process, which reduces a song to its melody and chord grid, thus defining the notions of graph and complexity of a piece. Persistent homology also lends itself to the problem of automatic classification of musical style, which will be treated here under the prism of symbolic descriptors given by statistics calculated directly on barcodes. Finally, the last application proposes a encoding of musical bars based on the Hausdorff distance, which leads to the study of musical textures.
The book is addressed to graduate students and researchers in mathematical music theory and music information research, but also at researchers in other fields, such as applied mathematicians and topologists, who want to learn more about mathematical music theory or music information research.
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Table of contents (10 chapters)
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Front Matter
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Part I
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Front Matter
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Part II
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Victoria Callet-Feltz is a Doctor of Mathematics. She did her PhD at the Institut de Recherche Mathématiques Avancées in Strasbourg and teaches now at the Institut Nationale des Sciences Appliquées in Strasbourg. In her work, she has studied some links between algebraic topology and music analysis: more specifically, her research areas concern the topological analysis of some musical structures and processes using a simplicial tool called persistent homology. She found that combining this approach with the theory of the discrete Fourier transform could produce consistent results in the field of topological musical data analysis, and especially in automatic classification field. She is also a member of the French association Femmes & Mathématiques, which allows her to take part in mediation activities aimed at promoting the place of women in scientific and technical fields.
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Bibliographic Information
Book Title: Persistent Homology and Discrete Fourier Transform
Book Subtitle: An Application to Topological Musical Data Analysis
Authors: Victoria Callet-Feltz
Series Title: Computational Music Science
DOI: https://doi.org/10.1007/978-3-031-82236-0
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2025
Hardcover ISBN: 978-3-031-82235-3Published: 01 June 2025
Softcover ISBN: 978-3-031-82238-4Due: 15 June 2026
eBook ISBN: 978-3-031-82236-0Published: 31 May 2025
Series ISSN: 1868-0305
Series E-ISSN: 1868-0313
Edition Number: 1
Number of Pages: XV, 230
Number of Illustrations: 54 b/w illustrations, 225 illustrations in colour
Topics: Mathematics in Music, Applications of Mathematics, Music