Anticipatory timing in algorithmic rhythm generation

Gifford, Toby M. & Brown, Andrew R. (2010) Anticipatory timing in algorithmic rhythm generation. In Opie, Timothy T. (Ed.) Proceedings of the Australasian Computer Music Conference 2010, Australasian Computer Music Association (ACMA), Australian National University, Canberra, pp. 21-28.

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Generative music algorithms frequently operate by making musical decisions in a sequence, with each step of the sequence incorporating the local musical context in the decision process. The context is generally a short window of past musical actions. What is not generally included in the context is future actions. For real-time systems this is because the future is unknown. Offline systems also frequently utilise causal algorithms either for reasons of efficiency [1] or to simulate perceptual constraints [2]. However, even real-time agents can incorporate knowledge of their own future actions by utilising some form of planning. We argue that for rhythmic generation the incorporation of a limited form of planning - anticipatory timing - offers a worthwhile trade-off between musical salience and efficiency. We give an example of a real-time generative agent - the Jambot - that utilises anticipatory timing for rhythmic generation. We describe its operation, and compare its output with and without anticipatory timing.

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ID Code: 33281
Item Type: Conference Paper
Refereed: Yes
Additional Information: the contents of that proceedings can be freely accessed via the official URL.
Additional URLs:
ISSN: 1448-7780
Subjects: Australian and New Zealand Standard Research Classification > STUDIES IN CREATIVE ARTS AND WRITING (190000) > FILM TELEVISION AND DIGITAL MEDIA (190200)
Australian and New Zealand Standard Research Classification > STUDIES IN CREATIVE ARTS AND WRITING (190000) > PERFORMING ARTS AND CREATIVE WRITING (190400)
Divisions: Current > QUT Faculties and Divisions > Creative Industries Faculty
Copyright Owner: Copyright 2010 Toby Gifford and Andrew Brown
Deposited On: 28 Jul 2010 22:51
Last Modified: 13 Jul 2017 14:39

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