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Machine composition of Korean music via topological data analysis and artificial neural network

  • Published:2023-05-03 Issue: Volume: Page:1-22
  • ISSN:1745-9737
  • Container-title:Journal of Mathematics and Music
  • language:en
  • Short-container-title:Journal of Mathematics and Music

Author:

Tran Mai Lan12,Lee Dongjin23,Jung Jae-Hun12

Affiliation:

1. Department of Mathematics, Pohang University of Science & Technology, Pohang, Korea

2. POSTECH Mathematical Institute for Data Science (MINDS), Pohang University of Science & Technology, Pohang, Korea

3. Graduate School of Artificial Intelligence, Pohang University of Science & Technology, Pohang, Korea

Funder

National Research Foundation

National Research Foundation of Korea

Publisher

Informa UK Limited

Subject

Applied Mathematics,Computational Mathematics,Music,Modeling and Simulation

Reference13 articles.

1. Adams, Henry, and Andrew Tausz. 2019. “JavaPlex TUTORIAL.” Github appliedtopology/javaplex.

2. Bergomi, Mattia. 2015. “Dynamical and Topological Tools for (Modern) Music Analysis.” PhD Thesis. Universite Pierre et Marie Curie, Paris.

3. Homological persistence in time series: an application to music classification

4. Bigo, Louis, Moreno Andreatta, Jean-Louis Giavitto, Olivier Michel, and Antoine Spicher. 2013. “Computation and Visualization of Musical Structures in Chord-Based Simplicial Complexes.” Vol. 7937, 06.

5. Bryan, Nicholas, and Ge Wang. 2011. “Musical Influence Network Analysis and Rank of Sample-Based Music.” 01, 329–334.

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1. Artificial Intelligence and Music. A Literature Review / Binomul inteligența artificială și muzica. Revizuirea literaturii de specialitate;Tehnologii informatice și de comunicație în domeniul muzical / Information and communication Technologies in Musical Field;2024-04-17
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