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Xronomorph: Algorithmic Generation Of Perfectly Balanced And Well-Formed Rhythms

Authors: Milne, Andrew J.; Herff, Steffen A.; Bulger, David; Sethares, William A.; Dean, Roger T.;

Xronomorph: Algorithmic Generation Of Perfectly Balanced And Well-Formed Rhythms

Abstract

We present an application XronoMorph for the algorithmic generation of rhythms in the context of creative composition and performance, and of musical analysis and education. XronoMorph makes use of visual and geometrical conceptualizations of rhythms, and allows the user to smoothly morph between rhythms. Sonification of the user generated geometrical constructs is possible using a built-in sampler, VST and AU plugins, or standalone synthesizers via MIDI. The algorithms are based on two underlying mathematical principles: perfect balance and well-formedness, both of which can be derived from coefficients of the discrete Fourier transform of the rhythm. The mathematical background, musical implications, and their implementation in the software are discussed.

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citations
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).
BIP!Citations provided by BIP!
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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