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november 08, 2003
Machine learning och musikstilar
Ett intressant IEEE Computer Magazine-paper: Using Machine-Learning Methods for Musical Style Modeling av Shlomo Dubnov, Gerard Assayag, Olivier Lartillot, Gill Bejerano (PDF).
The ability to construct a musical theory from examples presents a great intellectual challenge that, if successfully met, could foster a range of new creative applications. Inspired by this challenge, we sought to apply machine-learning methods to the problem of musical style modeling. Our work so far has produced examples of musical generation and applications to a computer-aided composition system.
Machine learning consists of deriving a mathematical model, such as a set of stochastic rules, from a set of musical examples. The act of musical composition involves a highly structured mental process. Although it is complex and difficult to formalize, it is clearly far from being a random activity.
Our research seeks to capture some of the regularity apparent in the composition process by using statistical and information-theoretic tools to analyze musical pieces. The resulting models can be used for inference and prediction and, to a certain extent, to generate new works that imitate the style of the great master
Posted by hakank at november 8, 2003 05:39 EM Posted to Machine learning/data mining