Title page for etd-0910109-163344


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URN etd-0910109-163344
Author Yan-Chi Chou
Author's Email Address No Public.
Statistics This thesis had been viewed 5577 times. Download 1828 times.
Department Computer Science and Engineering
Year 2008
Semester 2
Degree Master
Type of Document
Language English
Title Style Music Accompaniment Using a Variable-length Genetic Algorithm with Chord Progression
Date of Defense 2009-07-03
Page Count 52
Keyword
  • Chord Progression
  • Accompaniment
  • Variable-length Genetic Algorithm
  • Abstract The domain of computer music is an interesting area which combines computer science and music art. We propose a music accompaniment system using a variable-length genetic algorithm. Via the system one can make the music corresponded to his demands. In the style music accompaniment we analyze some important characteristic of pop music, and propose a new chromosome representation scheme to include the concept of rhyme, chord and melody. Chord progression is used as one of the evaluation criterions in this thesis.
    The system allows a user to input melody, to select emotion and rhyme, and the system will automatically generate the appropriate accompaniment based on the database compiled from some music theory relating to the chord progression. In addition, the system allows a user to select his favorite accompaniment that generated by the system. Based on the user selected accompaniment the system will generate similar accompaniments for the user.
    Advisory Committee
  • none - chair
  • none - co-chair
  • none - co-chair
  • none - co-chair
  • Chung-Nan Lee - advisor
  • Files
  • etd-0910109-163344.pdf
  • indicate accessible in a year
    Date of Submission 2009-09-10

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