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Composing and executing Interactive music using the HipHop.js language

Authors: Bertrand Petit; Manuel Serrano;

Composing and executing Interactive music using the HipHop.js language

Abstract

Skini is a platform for composing and producing live performances with audience participating using connected devices (smartphones, tablets, PC, etc.). The music composer creates beforehand musical elements such as melodic patterns, sound patterns, instruments, group of instruments, and a dynamic score that governs the way the basic elements will behave according to events produced by the audience. During the concert or the performance, the audience, by interacting with the system, gives birth to an original music composition. Skini music scores are expressed in terms of constraints that establish relationships between instruments. A constraint maybe instantaneous, for instance one may disable violins while trumpets are playing. A constraint may also be temporal, for instance, the piano cannot play more than 30 consecutive seconds. The Skini platform is implemented in Hop.js and HipHop.js. HipHop.js, a synchronous reactive DLS, is used for implementing the music scores as its elementary constructs consisting of high level operators such as parallel executions, sequences, awaits, synchronization points, etc, form an ideal core language for implementing Skini constraints. This paper presents the Skini platform. It reports about live performances and an educational project. It briefly overviews the use of HipHop.js for representing score.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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