• DocumentCode
    3541123
  • Title

    Improving AMDF for pitch period detection

  • Author

    Guangyu, Kang ; Shize, Guo

  • Author_Institution
    Dept. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    16-19 Aug. 2009
  • Abstract
    Pitch period is the important parameters of speech recognition and speech synthesis. Pitch period detection has been focus in the field of audio processing research. Traditional AMDF-based algorithm and its improved version, LV-AMDF-based algorithm easily leads to the double error or half error, and so on in the pitch detection. To solve these problems, AMDF, LV-AMDF function characteristics and shortcomings in pitch detection are analyzed, the parameters compensation AMDF pitch detection algorithm is proposed in this article to reduce semi-frequency, double-frequency errors often appear in the pitch detection and improve the detection accuracy. Experimental results show that its pitch detection accuracy is better than AMDF and LV-AMDF.
  • Keywords
    audio signal processing; speech recognition; speech synthesis; AMDF pitch period detection algorithm; LV-AMDF function characteristics; audio processing; double-frequency error reduction; parameters compensation; semifrequency error reduction; speech recognition; speech synthesis; Attenuation; Autocorrelation; Automatic control; Automatic testing; Detection algorithms; Electronic equipment testing; Error correction; Instruments; Signal processing algorithms; Speech synthesis; AMDF; Length-Varied AMDF; Pitch detection algorithm; amplitude compensation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3863-1
  • Electronic_ISBN
    978-1-4244-3864-8
  • Type

    conf

  • DOI
    10.1109/ICEMI.2009.5274087
  • Filename
    5274087