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10.1145/3588427.3595356acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
abstract

Melody Slot Machine HD

Published: 23 July 2023 Publication History

Abstract

Melody Slot Machine HD is an application that allows users to experience generating melodies using musical structures while playing slot machines. To make it possible, we use the Generative Theory of Tonal Music (GTTM) to analyze the melody structure and generate variations of the melody. All variation melodies created on the basis of GTTM have a similar musical structure, so even if the melody switches to another variation in the middle, the overall structure will not collapse. It is possible to see the player on the display playing a new combination of a melody generated interactively by the user’s manipulation.

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Supplemental video of Melody Slot Machine HD.

References

[1]
Masatoshi Hamanaka, Keiji Hirata, and Tojo Satoshi. 2021. Time-span Tree Leveled by Duration of Time-span. In Proceedings of CMMR2021. 155–164.
[2]
Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2006. Implementing "A Generative Theory of Tonal Music". Journal of New Music Research 35, 4 (2006), 249–277.
[3]
Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2009. Melody Extrapolation In GTTM approach. In Proceedings of ICMC2009. 89–92.
[4]
Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2017a. deepGTTM-I&II: Local Boundary and Metrical Structure Analyzer Based on Deep Learning Technique. In Proceedings of CMMR2016, Revised Selected Papers. 3–21.
[5]
Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2017b. deepGTTM-III: Multi-task Learning with Grouping and Metrical Structures. In Proceedings of CMMR2017. 25–28.
[6]
Masatoshi Hamanaka, Keiji Hirata, and Satoshi Tojo. 2023. Implementation of melodic morphing based on generative theory of tonal music. Journal of New Music Research 2023, 1 (2023), 1–17.
[7]
Stephen A. Hedges. 1978. Dice Music in the Eighteenth Century. Music and Letters 59, 2 (1978), 180–187.
[8]
Keiji Hirata, Satoshi Tojo, and Masatoshi Hamanaka. 2022. Music, Mathematics and Language - The New Horizon of Computational Musicology Opened by Information Science. Springer.
[9]
Kouhei Kanamori, Masatoshi Hamanaka, and Junichi Hoshino. 2014. Method to Detect GTTM Local Grouping Boundaries Based on Clustering and Statistical Learning. In Proceedings of SMC/ICMC2014. 1193–1197.
[10]
Fred Lerdahl and Ray Jackendoff. 1983. A generative theory of tonal music. The MIT Press, Cambridge. MA.

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cover image ACM Conferences
SIGGRAPH '23: ACM SIGGRAPH 2023 Appy Hour
July 2023
15 pages
ISBN:9798400701566
DOI:10.1145/3588427
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2023

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Author Tags

  1. GTTM
  2. melody morphing
  3. music structure
  4. time-span tree

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