• DocumentCode
    1855095
  • Title

    A new recurrent-network-based music synthesis method for Chinese plucked-string instruments - Pipa and Qin

  • Author

    Liang, Sheng-Fu ; Su, Alvin W Y ; Lin, Cheng-Teng

  • Author_Institution
    Dept. of Electr. & Control Eng., Chiau-Tung Univ., Hsinchu, Taiwan
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2564
  • Abstract
    A new recurrent-network-based synthesis technique for general plucked-string instruments is proposed. If is expected that the proposed technique can serve as a synthesis model as well as a systematic parameter-searching engine such that the synthetic tones can sound as close to the recorded tone as possible. Two traditional Chinese plucked-string instruments, Pipa and Qin, are introduced. A multi-stage training procedure and an improved training algorithm for the determination of synthesis parameters and excitation signal are presented. The analysis/synthesis results of the two Chinese traditional plucked-string instruments considered are shown
  • Keywords
    learning (artificial intelligence); music; recurrent neural nets; signal synthesis; multiple stage learning; music synthesis; plucked-string instruments; recurrent neural network; systematic parameter-search; Filters; Instruments; Multiple signal classification; Neck; Network synthesis; Neural networks; Recurrent neural networks; Signal synthesis; Steel; Wounds;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1999. IJCNN '99. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-5529-6
  • Type

    conf

  • DOI
    10.1109/IJCNN.1999.833478
  • Filename
    833478