• DocumentCode
    2455642
  • Title

    Multi-Pitch Estimation Using Harmonic Music

  • Author

    Christensen, Mads Græsbøll ; Jakobsson, Andreas ; Jensen, Søren Holdt

  • Author_Institution
    Dept. of Electron. Syst., Aalborg Univ., Aalborg
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    521
  • Lastpage
    524
  • Abstract
    In this paper, we present a method for estimation of the fundamental frequencies, or pitches, of several periodic sources. This difficult estimation problem occurs, for example, in speech and audio processing whenever multiple speakers or tones are present. The presented method is an extension of a recently proposed method for estimation of the fundamental frequency of a set of harmonically related sinusoids based on the MUSIC criterion. The estimator takes into account that the number of harmonics and sources may vary. The performance of the proposed method is evaluated in Monte Carlo simulations using synthetic signals under various conditions.
  • Keywords
    frequency estimation; signal classification; frequency estimation; harmonic multiple signal classification; multi pitch estimation; periodic source; Additive noise; Amplitude estimation; Cost function; Covariance matrix; Data models; Frequency estimation; Gaussian noise; Multiple signal classification; Parameter estimation; Speech processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354802
  • Filename
    4176612