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MorpheuS: automatic music generation with recurrent pattern constraints and tension profiles
Dorien Herremans, Elaine Chew

MorpheuS: automatic music generation with recurrent pattern constraints and tension profiles

Author / Organization:
Science & Mathematics Published 2016 Verification Pending

Overview & Synopsis

Generating music with long-term structure is one of the main challenges in the field of automatic composition. This article describes MorpheuS, a music generation system. MorpheuS uses state-of-the-art pattern detection techniques to find repeated patterns in a template piece. These patterns are then used to constrain the generation process for a new polyphonic composition. The music generation process is guided by an efficient optimization algorithm, variable neighborhood search, which uses a mathematical model of tonal tension to derive its objective function. The ability to generate music according to a tension profile could be useful in a game or film music context. Pieces generated by MorpheuS have been performed in live concerts.

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Document Information

Document Title MorpheuS: automatic music generation with recurrent pattern constraints and tension profiles
Author / Organization Dorien Herremans, Elaine Chew
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2016
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-76555
Original Source Link Visit Source Page on hal.science »