• DocumentCode
    381479
  • Title

    Dynamic temporal segmentation in parametric non-stationary modeling for percussive musical signals

  • Author

    Boyer, Remy ; Essid, Slim ; Moreau, Nicolas

  • Author_Institution
    Dept. of Signal & Image Process., Ecole Nat. Superieure des Telecommun., Paris, France
  • Volume
    1
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    349
  • Abstract
    An audio signal parametric modeling scheme is proposed that permits higher performance for representing strong sound transients. The exponentially damped sinusoids (EDS) model is considered in association with a high resolution parameter estimation approach. Such a technique is well adapted to almost every audio signal but is unfortunately not efficient when dealing with signals presenting strong temporal variations, such as percussive music signals, and causes pre-echo artifacts and weak onset dynamic reproduction which are prejudicial to listening. A system, based on the EDS model, has been developed with a transient detector and dynamic time segmentation and modeling that allows to overcome such artifacts.
  • Keywords
    audio coding; music; parameter estimation; signal detection; signal resolution; EDS model; MPEG-4 audio; audio coding; audio signal; dynamic temporal segmentation; dynamic time segmentation; exponentially damped sinusoids model; high resolution parameter estimation; listening; parametric nonstationary modeling; percussive musical signals; pre-echo artifacts; temporal variations; transient detector; weak onset dynamic reproduction; Context modeling; Detectors; Frequency; Image segmentation; Multiple signal classification; Parametric statistics; Power system modeling; Signal processing; Signal resolution; Speech;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo, 2002. ICME '02. Proceedings. 2002 IEEE International Conference on
  • Print_ISBN
    0-7803-7304-9
  • Type

    conf

  • DOI
    10.1109/ICME.2002.1035790
  • Filename
    1035790