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Benzaiten: A Non-Expert-Friendly Event of Automatic Melody Generation Contest

  • 2026
  • OriginalPaper
  • Chapter
Published in:
Authors
Yoshitaka Tomiyama
Tetsuro Kitahara
Taro Masuda
Koki Kitaya
Yuya Matsumura
Ayari Takezawa
Tsuyoshi Odaira
Kanako Baba
Published in
Music and Sound Generation in the AI Era
Publisher
Springer Nature Switzerland

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Abstract

Benzaiten introduces a novel contest-based evaluation event for automatic melody generation, designed to be accessible to non-experts and entertaining for laypeople. The event features a unique voting system, live melody generation, and a tournament-style format. It provides starter kits and community support to encourage participation from a wide range of individuals, not just experts in machine learning or music. The contest's success is evident in the diverse backgrounds of the entrants and the high level of engagement from the audience. Benzaiten's innovative approach aims to foster interest and progress in the field of automatic melody generation, making it a significant contribution to the intersection of music and technology.
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previous chapter A Live Performance Rule System Informed by Irish Traditional Dance Music
next chapter Pitch Class and Octave-Based Pitch Embedding Training Strategies for Symbolic Music Generation
Title
Benzaiten: A Non-Expert-Friendly Event of Automatic Melody Generation Contest
Authors
Yoshitaka Tomiyama
Tetsuro Kitahara
Taro Masuda
Koki Kitaya
Yuya Matsumura
Ayari Takezawa
Tsuyoshi Odaira
Kanako Baba
Copyright Year
2026
Book
Music and Sound Generation in the AI Era

Print ISBN: 978-3-032-02041-3

Electronic ISBN: 978-3-032-02042-0

Copyright Year: 2026

DOI
https://doi.org/10.1007/978-3-032-02042-0_10
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