• DocumentCode
    2389068
  • Title

    Time-frequency signal models for music analysis, transformation, and synthesis

  • Author

    Goodwin, Michael ; Vetterli, Martin

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1996
  • fDate
    18-21 Jun 1996
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    In signal analysis-synthesis, the analysis derives a set of parameters that the synthesis uses to reconstruct the original signal. In musical applications, this reconstruction should be perceptually accurate, and the parameterization should allow for such desirable signal modifications as time-scaling, pitch-shifting and cross-synthesis; the analysis parameters should correspond to a signal model that is flexible enough to allow these transformations. Sinusoidal modeling meets this flexibility requirement, but has difficulty representing some salient features of musical signals such as attack transients and noise-like processes. Sinusoidal modeling is reviewed and some variations are proposed to account for its shortcomings; also, wavelet-based representations of musical signals are considered
  • Keywords
    acoustic signal processing; music; parameter estimation; signal reconstruction; signal representation; signal synthesis; time-frequency analysis; wavelet transforms; analysis parameters; attack transients; cross-synthesis; music analysis; music synthesis; music transformation; musical applications; musical signals; noise-like processes; pitch-shifting; signal analysis-synthesis; signal modifications; signal parameters; signal reconstruction; sinusoidal modeling; time-frequency signal models; time-scaling; wavelet based representations; Acoustic noise; Application software; Mathematical model; Multiple signal classification; Noise reduction; Psychology; Signal analysis; Signal processing; Signal synthesis; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    0-7803-3512-0
  • Type

    conf

  • DOI
    10.1109/TFSA.1996.546704
  • Filename
    546704