“Melody Slot Machine” by Hamanaka, Nakatsuka and Morishima – ACM SIGGRAPH HISTORY ARCHIVES

“Melody Slot Machine” by Hamanaka, Nakatsuka and Morishima

  • 2019 ETech Hamanaka: Melody Slot Machine

  • 2019 ETech Hamanaka: Melody Slot Machine

Conference:


Experience Type(s):


Title:


    Melody Slot Machine

Program Title:


    New Technologies Research & Education

Organizer(s)/Presenter(s):



Description:


    We developed an interactive music system called the “Melody Slot Machine,” which provides an experience of manipulating a music performance. The melodies used in the system are divided into multiple segments, and each segment has multiple variations of melodies. By turning the dials, users can switch the variations of melodies.

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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