• DocumentCode
    2819627
  • Title

    Efficient algorithm to compute LSP parameters from 10th-order LPC coefficients

  • Author

    Grassi, S. ; Dufaux, A. ; Ansorge, M. ; Pellandini, F.

  • Author_Institution
    Inst. of Microtechnol., Neuchatel Univ., Switzerland
  • Volume
    3
  • fYear
    1997
  • fDate
    21-24 Apr 1997
  • Firstpage
    1707
  • Abstract
    Line spectrum pair (LSP) representation of linear predictive coding (LPC) parameters is widely used in speech coding applications. An efficient method for LPC to LSP conversion is Kabal´s method. In this method the LSPs are the roots of two polynomials P´p(x) and Q´p(x), and are found by a zero crossing search followed by successive bisections and interpolation. The precision of the obtained LSPs is higher than required by most applications, but the number of bisections cannot be decreased without compromising the zero crossing search. In this paper, it is shown that, in the case of 10th-order LPC, five intervals containing each only one zero crossing of P´10(x) and one zero crossing of Q´10(x) can be calculated, avoiding the zero crossing search. This allows a trade-off between LSP precision and computational complexity resulting in considerable computational saving
  • Keywords
    computational complexity; interpolation; linear predictive coding; polynomials; spectral analysis; speech coding; speech processing; 10th-order LPC coefficients; Kabal´s method; LSP parameters; LSP precision; bisections; computational complexity; computational saving; efficient algorithm; interpolation; line spectrum pair representation; linear predictive coding; polynomials; speech coding; zero crossing search; Chebyshev approximation; Computational complexity; Filters; Frequency; Interpolation; Linear predictive coding; Narrowband; Polynomials; Speech coding; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
  • Conference_Location
    Munich
  • ISSN
    1520-6149
  • Print_ISBN
    0-8186-7919-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1997.598845
  • Filename
    598845