Angkasa: A Software Tool for Spatiotemporal Granulation

  • Muhammad Hafiz Wan RosliEmail author
  • Andres Cabrera
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10525)


We introduce a software tool for performing Spatiotemporal Granulation called Angkasa, which allows a user to independently granulate space and time, through the use of spatially encoded signals. The software is designed to be used as a creative tool for composition, real-time musical instrument, or as an analytical tool. The current iteration of Angkasa provides an interface for analysis and synthesis of both spatial and temporal domains. Additionally, we present a brief theoretical overview of Spatiotemporal Granulation, and outline the possible, and potential manipulations that could be realized through this technique.


Microsound Spatial sound Analysis-synthesis 



The first author would like to thank his advisors, Curtis Roads, Clarence Barlow, JoAnn Kuchera-Morin, Andres Cabrera, and Matthew Wright for their guidance, and assistance in this research project. His gratitude is also extended towards Staatliche Hochschule für Gestaltung, and Zentrum für Kunst und Medientechnologie, Karlsruhe, Germany, for hosting him during the “Space-Media-Sound” research exchange program. Their encouragement, and assistance has proven to have had an extensive impact on the research implementation. This work was partly sponsored by Universiti Sains Malaysia, Ministry of Education Malaysia, and the Baden-Württemberg Foundation.


  1. 1.
    Barrett, N.: Spatio-musical composition strategies. J. Organ. Sound 7, 313–323 (2002)CrossRefGoogle Scholar
  2. 2.
    Cabrera, A.: Control of source width in multichannel reproduction through sinusoidal modeling. Ph.D. dissertation, Queen’s University Belfast (2012)Google Scholar
  3. 3.
    Deleflie, E., Schiemer, G.: Spatial-grains: imbuing granular particles with spatial-domain information. In: The Australasian Computer Music Conference, ACMC 2009 (2009)Google Scholar
  4. 4.
    Gerzon, M.A.: Periphony: with-height sound reproduction. J. Audio Eng. Soc. 21, 2–10 (1973)Google Scholar
  5. 5.
    Kim-Boyle, D.: Spectral and granular spatialization with boids. In: International Computer Music Conference, ICMC (2006)Google Scholar
  6. 6.
    Kuchera-Morin, J., Wright, M.: Immersive full- surround multi-user system design. Comput. Graph. 40, 10–21 (2014)CrossRefGoogle Scholar
  7. 7.
    Roads, C.: The Computer Music Tutorial. MIT Press, Massachusetts (1996)Google Scholar
  8. 8.
    Roads, C.: Microsound. MIT Press, Massachusetts (2001)Google Scholar
  9. 9.
    Sturm, B.L., Roads, C., McLeran, A., Shynk, J.J.: Analysis, visualization, and transformation of audio signals using dictionary-based methods. In: International Computer Music Conference, ICMC (2008)Google Scholar
  10. 10.
    Schwarz, D.: A system for data-driven concatenative sound synthesis. In: Digital Audio Effects (2000)Google Scholar
  11. 11.
    Truax, B.: Composition and diffusion: space in sound in space. J. Organ. Sound 3, 141–146 (1998)CrossRefGoogle Scholar
  12. 12.
    Rosli, M.H.W., Cabrera, A.: Gestalt principles in multimodal data representation. IEEE Comput. Graph. Appl. 35, 80–87 (2015)CrossRefGoogle Scholar
  13. 13.
    Rosli, M.H.W., Roads, C.: Spatiotemporal granulation. In: International Computer Music Conference, ICMC (2016)Google Scholar
  14. 14.
    Rosli, M.H.W., Cabrera, A., Wright, M., Roads, C.: Granular model of multidimensional spatial sonification. In: Sound and Music Computing, SMC (2015)Google Scholar
  15. 15.
    Wright, M., Freed, A.: Open sound control: a new protocol for communicating with sound synthesizers. J. Organ. Sound. 10, 193–200 (2005)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Media Arts and Technology ProgramUniversity of California, Santa BarbaraSanta BarbaraUSA

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