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