Improvisation and Learning
Abstract
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.
Cite
Text
Franklin. "Improvisation and Learning." Neural Information Processing Systems, 2001.Markdown
[Franklin. "Improvisation and Learning." Neural Information Processing Systems, 2001.](https://mlanthology.org/neurips/2001/franklin2001neurips-improvisation/)BibTeX
@inproceedings{franklin2001neurips-improvisation,
title = {{Improvisation and Learning}},
author = {Franklin, Judy A},
booktitle = {Neural Information Processing Systems},
year = {2001},
pages = {1377-1384},
url = {https://mlanthology.org/neurips/2001/franklin2001neurips-improvisation/}
}