• DocumentCode
    3569151
  • Title

    Instantaneous pitch estimation based on RAPT framework

  • Author

    Azarov, Elias ; Vashkevich, Maxim ; Petrovsky, Alexander

  • Author_Institution
    Comput. Eng. Dept., Belarusian State Univ. of Inf. & Radioelectron., Minsk, Belarus
  • fYear
    2012
  • Firstpage
    2787
  • Lastpage
    2791
  • Abstract
    The paper presents a pitch estimation technique based on the robust algorithm for pitch tracking (RAPT) framework. The proposed solution provides estimation of instantaneous pitch values and is not sensitive to rapid frequency modulations. The technique utilizes a different period candidate generating function based on instantaneous harmonic parameters. The function is similar to normalized cross-correlation function, however it represents momentary periodicity with high frequency resolution. The second major revision of RAPT is an additional post-processing procedure that makes estimation values more accurate. The proposed algorithm is compared with other pitch detection algorithms using artificial and natural signals.
  • Keywords
    correlation methods; estimation theory; frequency modulation; signal resolution; speech processing; RAPT framework; artificial signal; estimation values; high frequency resolution; instantaneous harmonic parameters; instantaneous pitch estimation; instantaneous pitch values; momentary periodicity; natural signal; normalized cross-correlation function; period candidate generating function; pitch detection algorithms; pitch estimation technique; pitch tracking framework; post-processing procedure; rapid frequency modulations; robust algorithm; Estimation; Frequency estimation; Frequency modulation; Harmonic analysis; Power harmonic filters; Signal processing algorithms; Speech; RAPT; instantaneous harmonic parameters; instantaneous pitch estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
  • ISSN
    2219-5491
  • Print_ISBN
    978-1-4673-1068-0
  • Type

    conf

  • Filename
    6334169