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Ubiquitous Music pp 51–63Cite as

Repertoire Remix in the Context of Festival City

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Part of the book series: Computational Music Science ((CMS))

Abstract

Repertoire Remix enables remote audience members to dynamically suggest their musical preferences for live web-streaming musical improvisation sessions. The semantic web interface encourages remote participants to collaboratively use “stirring” mouse gestures to influence the size of graphical bubbles that contain composers’ names. The accumulated weight is then interpreted by musicians to improvise. This chapter documents the first pilot run of the Repertoire Remix system, explores challenges in designing a real-time shared music style arranging system for networked live improvisation and interprets the resulting performance by assessing the participants’ mouse gestures collected during the pilot run.

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Acknowledgements

The author would like to thank Muriel R. Cooper Professor Tod Machover, Simone Ovsey and Ben Bloomberg for their help in the creation of the Repertoire Remix web application. The author would also like to thank Tae Kim for his collaboration in making the pilot improvisation session a successful one. Thanks to the members of the Opera of the Future group at MIT Media Lab for your moral support.

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Authors and Affiliations

  1. MIT Media Lab, Cambridge, MA, USA

    Akito van Troyer

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  1. Akito van Troyer
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Correspondence to Akito van Troyer .

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Editors and Affiliations

  1. Núcl Amaz. de Pesquisa Musical (NAP), Universidade Federal do Acre (UFAC), Rio Branco, Brazil

    Damián Keller

  2. Dept. of Music, Natl Univ of Ireland, Maynooth (NUIM), Co. Kildare, Ireland

    Victor Lazzarini

  3. Institute of Informatics, Fed Univ of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

    Marcelo S. Pimenta

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van Troyer, A. (2014). Repertoire Remix in the Context of Festival City . In: Keller, D., Lazzarini, V., Pimenta, M. (eds) Ubiquitous Music. Computational Music Science. Springer, Cham. https://doi.org/10.1007/978-3-319-11152-0_3

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  • DOI: https://doi.org/10.1007/978-3-319-11152-0_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11151-3

  • Online ISBN: 978-3-319-11152-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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