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      Aiding Soundtrack Composer Creativity through Automated Film Script-profiled Algorithmic Composition

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      Journal of Creative Music Systems
      University of Huddersfield Press

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          Abstract

          The creation of soundtracks for feature length films is a major undertaking. One method involves watching the film for sections that inspire some emotional response, and then improvising live. The composing of a score is often a combination of bottom up and top down processes. For example small segments of score are composed first, while in parallel a broader structure is planned based on the narrative. We present a system that attempts to aid the composer in this creative process. The system focuses on the script rather than moving image of the film. This has two advantages: (a) a composer can begin their work earlier in the process of film production; (b) the automated analysis of text is simpler than the automated analysis of video and speech. The system performs an automated analysis that approximates the script structure. It also attempts, using word analysis, to give insight into the emotional trajectory of the story and the characters. These are then used as part of an algorithmic creativity system that suggests musical sketches to the composer for parts of the script.

          Author and article information

          Journal
          Journal of Creative Music Systems
          University of Huddersfield Press
          2399-7656
          March 1 2017
          March 1 2017
          : 1
          : 2
          Article
          10.5920/JCMS.2017.01
          bb3f042e-441e-40cd-9c32-6ab48490b296
          © 2017

          JCMS provides free online access to its content. The work is published under a Creative Commons license, which provides unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view the licenses, visit http://creativecommons.org/licenses/

          History

          Software engineering,Music,Computer science
          Software engineering, Music, Computer science

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