• DocumentCode
    2350285
  • Title

    Neural network based model for classification of music type

  • Author

    Matityaho, Benyamin ; Furst, Miriam

  • Author_Institution
    Dept. of Electr. Eng.-Syst., Tel Aviv Univ., Israel
  • fYear
    1995
  • fDate
    7-8 March 1995
  • Abstract
    We can easily tell which type of music, like pop or classic, is played after listening to a few seconds of the music. But when looking at signal representation of the music, no clear difference can be seen. We propose a new approach to recognize the music type, using a multi-layer neural network as the decision making system. The presented model for classifying two types of music showed 100% success with a simple model based on a neural network.
  • Keywords
    feedforward neural nets; multilayer perceptrons; music; pattern classification; signal representation; decision making system; multi-layer neural network; music type classification; neural network based model; signal representation; Decision making; Ear; Frequency; Humans; Independent component analysis; Multi-layer neural network; Multiple signal classification; Neural networks; Performance analysis; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 1995., Eighteenth Convention of
  • Conference_Location
    Tel Aviv, Israel
  • Print_ISBN
    0-7803-2498-6
  • Type

    conf

  • DOI
    10.1109/EEIS.1995.514161
  • Filename
    514161