Prediction and proactivity in real-time interactive music systems

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Abstract

We advocate for the use of predictive techniques in interactive computer music systems. We suggest that the inclusion of prediction can assist in the design of proactive rather than reactive computational performance partners. We summarize the significant role prediction plays in human musical decisions, and the only modest use of prediction in interactive music systems to date. After describing how we are working toward employing predictive processes in our own metacreation software we reflect on future extensions to these approaches. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.

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Brown, A. R., & Gifford, T. (2013). Prediction and proactivity in real-time interactive music systems. In AAAI Workshop - Technical Report (Vol. WS-13-22, pp. 35–39). AI Access Foundation. https://doi.org/10.1609/aiide.v9i5.12644

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