• DocumentCode
    2719406
  • Title

    A simple algorithm of pitch detection by using fast direct transform

  • Author

    Yazama, Yuuki ; Mitsukura, Yasue ; Fukumi, Minoru ; Akamatsu, Norio

  • Author_Institution
    Fac. of Eng., The Univ. of Tokushima, Japan
  • fYear
    2005
  • fDate
    27-30 June 2005
  • Firstpage
    205
  • Lastpage
    209
  • Abstract
    There are some fundamental frequency detection methods for speech processing such as cepstrum analysis. However, the traditional methods need a lot of computing time and arithmetic processing. Moreover, a speech signal is converted into frequency domain by using an analysis section. In this paper, we propose a fast direct transformation (FDT). FDT extracts an amplitude feature of a signal by a simple computation. We perform the fundamental frequency detection of speech signal by using FDT. We compare the FDT algorithm with the conventional fundamental frequency detection methods by using teacher data (fundamental frequency) detected by the inspection. We perform an improvement as compared with an autocorrelation method by using FDT algorithm.
  • Keywords
    feature extraction; frequency estimation; speech processing; transforms; FDT algorithm; autocorrelation method; fast direct transform; frequency detection; frequency domain; fundamental frequency; pitch detection algorithm; speech processing; teacher data; Arithmetic; Cepstral analysis; Cepstrum; Data mining; Feature extraction; Frequency domain analysis; Signal analysis; Signal detection; Speech analysis; Speech processing; fast direct transform; pitch detection algorithm; speech processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on
  • Print_ISBN
    0-7803-9355-4
  • Type

    conf

  • DOI
    10.1109/CIRA.2005.1554278
  • Filename
    1554278