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Contents

   



(Top)
 


1 Sub-topics in Music Informatics research  





2 Music informatics in education  





3 See also  





4 References  














Music informatics






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From Wikipedia, the free encyclopedia
 


Music informatics is a study of music processing,[1] in particular music representations, fourier analysis of music, music synchronization, music structure analysis and chord recognition.[1][2] Other music informatics research topics include computational music modeling (symbolic, distributed, etc.),[2] computational music analysis,[2] optical music recognition,[2] digital audio editors, online music search engines, music information retrieval and cognitive issues in music. Because music informatics is an emerging discipline, it is a very dynamic area of research with many diverse viewpoints, whose future is yet to be determined.

Sub-topics in Music Informatics research[edit]

Music informatics in education[edit]

Music informatics, as a degree subject, offers a similar learning experience to music technology, but goes further into learning the principles behind the technology.[3] Informatics students will not just use existing music hardware and software, but will learn programming and artificial intelligence.

See also[edit]

References[edit]

  1. ^ a b Müller, Meinard (2015). Fundamentals of Music Processing: Audio, Analysis, Algorithms, Applications. Springer International Publishing. ISBN 978-3-319-21944-8.
  • ^ a b c d "Music Informatics Interest Group | SMT". societymusictheory.org.
  • ^ "Music Informatics". University of Sussex. Retrieved 2008-04-20.

  • Retrieved from "https://en.wikipedia.org/w/index.php?title=Music_informatics&oldid=1197373859"

    Categories: 
    Music industry
    Sound production technology
    Information science
     



    This page was last edited on 20 January 2024, at 07:05 (UTC).

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