• DocumentCode
    2896240
  • Title

    MIDI music model

  • Author

    Feldman, Elizabeth

  • Author_Institution
    Univ. of North Florida, Jacksonville, FL, USA
  • fYear
    2015
  • fDate
    9-12 April 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Computational music analysis has received extensive research attention in the recent decade. This study explores music as a statistical time series of notes to predict note events in the future given a music excerpt. Instead of using music theory to model the aesthetics of music, this study applies the Holt-Winter Model. The experiment result proves that musical components, such as notes and beats, are statistically related and can be fit by the Holt-Winter Model. The model also shows the ability to predict a specified number of future notes. Such research can be applied to assisting musicians encountering writer´s block.
  • Keywords
    music; statistical analysis; time series; Holt-Winter model; MIDI music model; beats; computational music analysis; music excerpt; musical components; note events; notes; statistical time series; Data models; MATLAB; Market research; Mathematical model; Noise; Prediction algorithms; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SoutheastCon 2015
  • Conference_Location
    Fort Lauderdale, FL
  • Type

    conf

  • DOI
    10.1109/SECON.2015.7133038
  • Filename
    7133038