• DocumentCode
    2189894
  • Title

    VT-AMDF pitch detection algorithm and Thai tone recognition system

  • Author

    Prukkanon, Nutthacha ; Chamnongthai, Kosin ; Miyanaga, Yoshikazu

  • Author_Institution
    Dept. of Comput. Eng., King Mongkut´´s Univ. of Technol. Thonburi, Bangkok, Thailand
  • fYear
    2011
  • fDate
    17-19 May 2011
  • Firstpage
    958
  • Lastpage
    961
  • Abstract
    This paper, we evaluated VT-AMDF pitch detection algorithm with Thai tone recognition system. The varied time interval of average magnitude different function (VT-AMDF), the original AMDF, and the circular AMDF (CAMDF) are used to extract fundamental frequency (F0) and compared recognition performance. F0 data, extracted from those three pitch detection algorithms are separated and formed a contour and a subsection F0 which used as tone features of Hidden Markov Models (HMM). Training and testing utterances were collected from 26 speakers uttering seven Thai isolated words in five difference tones. The result shows that the VT-AMDF algorithm yields more accurate tone recognition than the others when cooperated with minimum detection method or threshold detection method in 256 samples per frame condition.
  • Keywords
    hidden Markov models; speech recognition; Thai isolated words; Thai tone recognition system; VT-AMDF pitch detection algorithm; average magnitude different function; circular AMDF; fundamental frequency; hidden Markov models; minimum detection method; recognition performance; threshold detection method; tone features; varied time interval; Speech; Speech processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2011 8th International Conference on
  • Conference_Location
    Khon Kaen
  • Print_ISBN
    978-1-4577-0425-3
  • Type

    conf

  • DOI
    10.1109/ECTICON.2011.5948001
  • Filename
    5948001