• DocumentCode
    1990648
  • Title

    A new time-frequency representation for music signal analysis: Resonator time-frequency image

  • Author

    Zhou, Ruohua ; Mattavelli, Marco

  • Author_Institution
    Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne
  • fYear
    2007
  • fDate
    12-15 Feb. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Most of music related tasks need a joint time-frequency analysis because a music signal varies with time. The existing time-frequency analysis approaches show some serious limitations for application in music signal processing. This paper presents an original frequency-dependent time-frequency analysis tool called the Resonator Time-Frequency Image (RTFI). The RTFI is implemented by a first-order complex resonator bank so as to be computation-efficient. Different music analysis tasks may have different time-frequency resolution requirements. Using the RTFI, one can select different time-frequency resolutions, such as uniform analysis, constant-Q analysis, or ear-like analysis by simply setting different parameters; and letting the RTFI generalize all these analyses in one framework. An example of using the RTFI in music onset detection is introduced.
  • Keywords
    audio signal processing; resonators; signal detection; signal representation; signal resolution; time-frequency analysis; constant-Q analysis; first-order complex resonator bank; frequency-dependent time-frequency analysis; music onset detection; music signal analysis; music signal processing; resonator time-frequency image; time-frequency representation; time-frequency resolution; uniform analysis; Band pass filters; Equations; Filter bank; Multiple signal classification; Music; Performance analysis; Signal analysis; Signal processing; Signal resolution; Time frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-0778-1
  • Electronic_ISBN
    978-1-4244-1779-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.2007.4555594
  • Filename
    4555594