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  • Network jamming : distributed performance using generative music

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    72435_1.pdf (8.078Mb)
    Author(s)
    Brown, Andrew R.
    Griffith University Author(s)
    Brown, Andrew R.
    Year published
    2010
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    Abstract
    Generative music systems can be performed by manipulating the values of their algorithmic parameters, and their semi-autonomous nature provides an opportunity for coordinated interaction amongst a network of systems, a practice we call Network Jamming. This paper outlines the characteristics of this networked performance practice and discusses the types of mediated musical relationships and ensemble configurations that can arise. We have developed and tested the jam2jam network jamming software over recent years. We describe this system, draw from our experiences with it, and use it to illustrate some characteristics of ...
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    Generative music systems can be performed by manipulating the values of their algorithmic parameters, and their semi-autonomous nature provides an opportunity for coordinated interaction amongst a network of systems, a practice we call Network Jamming. This paper outlines the characteristics of this networked performance practice and discusses the types of mediated musical relationships and ensemble configurations that can arise. We have developed and tested the jam2jam network jamming software over recent years. We describe this system, draw from our experiences with it, and use it to illustrate some characteristics of Network Jamming.
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    Conference Title
    2010 Conference on New Interfaces for Musical Expression (NIME++ 2010)
    Publisher URI
    http://www.educ.dab.uts.edu.au/nime/
    Copyright Statement
    © The Author(s) 2010. The attached file is posted here with permission of the copyright owner for your personal use only. No further distribution permitted. For information about this conference please refer to the publisher's website or contact the authors.
    Subject
    Performing Arts and Creative Writing not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/40353
    Collection
    • Conference outputs

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