• DocumentCode
    2632115
  • Title

    A method for simultaneously extract the fundamental frequency of a speech signal and segment it

  • Author

    Rossignol, Stéphane ; Collette, Jean-Luc

  • Author_Institution
    IMS Res. Group 2, Supelec, Metz
  • fYear
    2008
  • fDate
    16-19 Dec. 2008
  • Firstpage
    213
  • Lastpage
    218
  • Abstract
    This paper deals with the voiced/unvoiced segmentation of natural speech signals and, inside the voiced intervals of these signals, with the determination of the fundamental frequency f0. Our primary motivation of developing the method presented in this paper is to obtain precise f0 information, this both in terms of frequency for relatively fast evolving events, and in terms of time location of these frequential events. The use of a first partial enhancement and of the Analytic Signal extraction techniques allows this. Comparisons with a standard FFT-based method are provided.
  • Keywords
    fast Fourier transforms; signal processing; speech processing; analytic signal extraction techniques; frequential events; fundamental frequency; natural speech signals; standard FFT-based method; voiced intervals; voiced/unvoiced segmentation; Cepstral analysis; Cepstrum; Data mining; Detectors; Frequency domain analysis; Natural languages; Signal analysis; Signal processing; Speech processing; Speech synthesis; Signal Processing Theory and Methods; Speech Processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2008. ISSPIT 2008. IEEE International Symposium on
  • Conference_Location
    Sarajevo
  • Print_ISBN
    978-1-4244-3554-8
  • Electronic_ISBN
    978-1-4244-3555-5
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2008.4775674
  • Filename
    4775674