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The Hyper Drumhead: A Musical Instrument For The Audio/Visual Manipulation Of Sound Waves

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Published:24 July 2022Publication History

ABSTRACT

The Hyper Drumhead is a novel digital musical instrument that allows for the visualization and the manipulation of sound waves. At its core, a GPU-accelerated physical model computes in real-time the propagation of sound waves in two dimensions, allowing for the audio/visual simulation of massive domains. Every time the musician touches the surface of the instrument, an excitation signal is injected into the simulation domain, triggering wave propagation in all directions. By drawing boundaries in the domain and modifying the acoustic parameters of the simulated medium, the musician may generate and modulate reflections and resonances, effectively shaping the timbre of the resulting sound. In this short paper, we describe the main components of the instrument, including the control interface and the underlying numerical simulation.

References

  1. Andrew Allen and Nikunj Raghuvanshi. 2015. Aerophones in flatland: Interactive wave simulation of wind instruments. ACM Transactions on Graphics (TOG) 34, 4 (2015), 1–11.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Harri Renney, Benedict R Gaster, and Tom Mitchell. 2019. OpenCL vs: Accelerated finite-difference digital synthesis. In Proceedings of the International Workshop on OpenCL. 1–11.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Marc Sosnick and William Hsu. 2010. Efficient finite difference-based sound synthesis using GPUs. In Proceedings of the Sound and Music Computing Conference. 42–44.Google ScholarGoogle Scholar
  4. Victor Zappi, Andrew Allen, and Sidney S Fels. 2017. Shader-based physical modelling for the design of massive digital musical instruments.. In NIME. 145–150.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      SIGGRAPH '22: ACM SIGGRAPH 2022 Real-Time Live!
      July 2022
      13 pages
      ISBN:9781450393683
      DOI:10.1145/3532833

      Copyright © 2022 Owner/Author

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 24 July 2022

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      Overall Acceptance Rate1,822of8,601submissions,21%
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