Improvisation and Learning

Part of Advances in Neural Information Processing Systems 14 (NIPS 2001)

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Judy A. Franklin


This article presents a 2-phase computational learning model and appli- cation. As a demonstration, a system has been built, called CHIME for Computer Human Interacting Musical Entity. In phase 1 of training, re- current back-propagationtrains the machine to reproduce 3 jazz melodies. The recurrent network is expanded and is further trained in phase 2 with a reinforcement learning algorithm and a critique produced by a set of basic rules for jazz improvisation. After each phase CHIME can interactively improvise with a human in real time.