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Neural network music composition by prediction

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Visit this site: http://www.cs.colorado.edu/~mozer/papers/music.html

Author:Michael C. Mozer
Description: Exploring the benefits of psychophysical constraints and multiscale processing. In algorithmic music composition, a simple technique involves selecting notes sequentially according to a transition table that specifies the probability of the next note as a function of the previous context. Mozer describes an extension of this transition table approach using a recurrent autopredictive connectionist network called CONCERT. CONCERT is trained on a set of pieces with the aim of extracting stylistic regularities. CONCERT can then be used to compose new pieces. A central ingredient of CONCERT is the incorporation of psychologically grounded representations of pitch, duration, and harmonic structure.

Levels: College
Languages: English
Resource Types: Articles, Topic Tools Miscellaneous
Math Topics: Algorithms, Music

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