• DocumentCode
    2601092
  • Title

    A hybrid pitch period estimation method based on HNM model

  • Author

    Nagy, Martin Turi ; Rozinaj, Gregor ; Páleník, Andrej

  • Author_Institution
    Slovak Univ. of Technol., Bratislava
  • fYear
    2007
  • fDate
    12-14 Sept. 2007
  • Firstpage
    175
  • Lastpage
    178
  • Abstract
    Pitch period estimation (also called fundamental frequency estimation) is widely needed in speech processing for many purposes. In our system for prosodic modification of speech, the pitch period estimation is used as a basis for frame length detection. The pitch period estimation method used in the system is a hybrid method that is based on YIN fundamental frequency estimation algorithm and a method for fundamental frequency detection on magnitude of the speech signal. The experiments show, that the method is useful in sinusoidal modeling domain, as in other domains, too.
  • Keywords
    frequency estimation; speech processing; HNM model; YIN algorithm; frame length detection; fundamental frequency detection; fundamental frequency estimation; harmonic plus noise model; hybrid pitch period estimation method; prosodic modification; speech processing; speech signal magnitude; Acoustic signal detection; Bandwidth; Electronic mail; Frequency domain analysis; Frequency estimation; Frequency modulation; Signal processing algorithms; Speech enhancement; Speech synthesis; Stress; HNM model; Pitch period; sinusoidal parameters.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ELMAR, 2007
  • Conference_Location
    Zadar
  • ISSN
    1334-2630
  • Print_ISBN
    978-953-7044-05-3
  • Type

    conf

  • DOI
    10.1109/ELMAR.2007.4418825
  • Filename
    4418825