A study on the pitch extraction detection by linear approximation of sub-band

  • Authors:

  • Keun Wang Lee;Kwang Hyoung Lee;So Yeon Min

  • Affiliations:

  • Dept. of Multimedia Science, Chungwoon Univ., Chungnam, Korea;Dept. of Internet Information, Seoil College, Korea;Dept. of Information & Telecommunication, Seoil College, Korea

  • Venue:
  • ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
  • Year:
  • 2006

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Abstract

The exact pitch(fundamental frequency) extraction is important in speech signal processing like speech recognition, speech analysis and synthesis. However the exact pitch extraction from speech signal is very difficult due to the effect of formant and transitional amplitude. So in this paper, the pitch is detected after the elimination of formant ingredients by flattening the spectrum in frequency region. The effect of the transition and change of phoneme is low in frequency region. In this paper we proposed the new flattening method of log spectrum and the performance was compared with LPC method and Cepstrum method. The results show the proposed method is better than conventional method.