• DocumentCode
    1773365
  • Title

    Correlation based pitch extraction method in speech signal

  • Author

    Rashidul Hasan, Mirza A. F. M. ; Yasmin, Rubaiyat ; Das, Divya ; Rahman, Md Saifur

  • Author_Institution
    Dept. of ICE, Univ. of Rajshahi, Rajshahi, Bangladesh
  • fYear
    2014
  • fDate
    21-23 Oct. 2014
  • Firstpage
    140
  • Lastpage
    143
  • Abstract
    This paper proposed a correlation based method using the autocorrelation function and the YIN. The autocorrelation function and also YIN is a popular measurement in estimating pitch in time domain. The performance of these two methods, however, is effected due to the position of dominant harmonics (usually the first formant) and the presence of spurious peaks introduced in noisy conditions. The experimental results of computer simulations on male and female voices in white noise perform that the gross pitch errors are lower in proposed method as compared to other related method in different types of signal to noise ratio conditions.
  • Keywords
    correlation methods; speech processing; white noise; YIN; autocorrelation function; computer simulations; correlation based pitch extraction method; female voices; gross pitch errors; male voices; noisy conditions; signal to noise ratio conditions; speech signal; spurious peaks; time domain; white noise; Correlation; Estimation; Noise measurement; Signal to noise ratio; Speech; Speech processing; autocorrelation function; correlation; pitch extraction; white noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Strategic Technology (IFOST), 2014 9th International Forum on
  • Conference_Location
    Cox´s Bazar
  • Print_ISBN
    978-1-4799-6060-6
  • Type

    conf

  • DOI
    10.1109/IFOST.2014.6991090
  • Filename
    6991090