• DocumentCode
    2856695
  • Title

    Pole-zero estimation of speech based on L1 norm linear prediction

  • Author

    Namba, Munehiro ; Kamata, Hiroyuki ; Ishida, Yoshihisa

  • Author_Institution
    Dept. of Electron. & Commun., Meiji Univ., Kawasaki, Japan
  • fYear
    1995
  • fDate
    17-19 May 1995
  • Firstpage
    567
  • Lastpage
    570
  • Abstract
    This paper discusses the robustness of the linear prediction whose minimization process is based on a least absolute error criterion. Due to such robustness in the preciseness of prediction, we can estimate a pole-zero model of speech signals and approximate better the spectral envelope compared to that obtained by traditional linear prediction
  • Keywords
    error analysis; least squares approximations; linear programming; minimisation; poles and zeros; prediction theory; spectral analysis; speech processing; L1 norm linear prediction; least absolute error criterion; linear programming; minimization process; pole-zero estimation; robustness; spectral envelope; speech; Electrical capacitance tomography; Frequency domain analysis; Minimization methods; Poles and zeros; Prediction algorithms; Predictive models; Robustness; Speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, Computers, and Signal Processing, 1995. Proceedings., IEEE Pacific Rim Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-2553-2
  • Type

    conf

  • DOI
    10.1109/PACRIM.1995.519595
  • Filename
    519595
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2856695