@conference {IIIA-2004-918, title = {Music Performance Generation as Time Series Prediction}, booktitle = {Proceedings of the ECCBR 2004 Workshops}, year = {2004}, pages = {329-336}, publisher = {Departamento de Sistemas Inform{\'a}ticos y Programaci{\'o}n. Universidad Complutense de Madrid}, organization = {Departamento de Sistemas Inform{\'a}ticos y Programaci{\'o}n. Universidad Complutense de Madrid}, abstract = {In this paper, we present a case-based reasoning system for rendering expressive music performances in the context of popular jazz themes. Music performance by skilled musicians is far from being a literal translation process from notes written at the score to sounds with the nominally described attributes. These score deviations can vary greatly from one musician to another musician and represent the musician style. The case-based reasoning system presented deals with this problem as a time series prediction problem.}, author = {Maarten Grachten and Josep Lluis Arcos}, editor = {Gerv{\'a}s, P. and Gupta, K. M.} }