• DocumentCode
    303375
  • Title

    Memorization of melodies by complex-valued recurrent network

  • Author

    Kinouchi, Makoto ; Hagiwara, Masafumi

  • Author_Institution
    Dept. of Electr. Eng., Keio Univ., Yokohama, Japan
  • Volume
    2
  • fYear
    1996
  • fDate
    3-6 Jun 1996
  • Firstpage
    1324
  • Abstract
    Memorization of the temporal sequences is very important and interesting problem. One of the examples is memorization of melodies. When we memorize melodies, we can recall it from a part. The function can be considered as an associative memory of the temporal sequences. From a technical point of view, it can be considered that the rest of the melody can be determined by some leading some notes. In this paper, we apply the complex-valued recurrent network, which has much superior ability to deal with temporal sequences than the conventional real-valued networks, to memorization of melodies. It is shown in computer simulations that the network can memorize some melodies and recall them correctly from any part
  • Keywords
    content-addressable storage; music; recurrent neural nets; associative memory; complex-valued recurrent network; leading notes; melody memorization; neural network; temporal sequences; Associative memory; Biological neural networks; Computer simulation; Motion pictures; Neurofeedback; Neurons; Nonhomogeneous media; Process control; Spatial databases; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1996., IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-7803-3210-5
  • Type

    conf

  • DOI
    10.1109/ICNN.1996.549090
  • Filename
    549090