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date: 02 March 2021

Abstract and Keywords

The future development of artificially intelligent musicians depends upon an engagement with machine-learning technology. Human musicians have the benefit of long periods of study, which for expert musicians typically exceeds 10,000 hours of practice; machine musicians must match such dedication. This chapter reviews manifestations of machine learning in computer music systems, with a particular emphasis on live interactive agents. The LL (Listening and Learning) system is further described and critiqued, as used in performances for drummer and computer, and electric violin and computer.

Keywords: machine learning, musical artificial intelligence, interactive music systems, machine musician

Nick Collins

Nick Collins is a composer, performer and researcher who lectures at the University of Sussex. His research interests include machine listening, interactive and generative music, and musical creativity. He co-edited the Cambridge Companion to Electronic Music (Cambridge University Press 2007) and The SuperCollider Book (MIT Press, 2011) and wrote the Introduction to Computer Music (Wiley 2009). Sometimes, he writes in the third person about himself, but is trying to give it up. Further details, including publications, music, code and more, are available from http://www.sussex.ac.uk/Users/nc81/index.html

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