• DocumentCode
    290024
  • Title

    Vector quantization-lattice vector quantization of speech LPC coefficients

  • Author

    Pan, Jianprng ; Fischer, Thomas R.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    i
  • fYear
    1994
  • fDate
    19-22 Apr 1994
  • Abstract
    Two-stage vector quantization-lattice vector quantization (VQ-LVQ) is used to encode the speech line spectrum pair (LSP) parameters. VQ-LVQ has the advantages of lower implementational complexity and less required memory than split vector quantization (SVQ) and multi-stage vector quantization (MSVQ) with unstructured codebooks. Based on the authors´ speech data base and the same spectral measure, VQ-LVQ can save about 3 bits/frame compared to SVQ, and has advantages of about 2 to 3 bits/frame compared to unstructured codebook MSVQ, depending on the number of stages and the survivor path search complexity. The paper also provides a discussion on some factors influencing the evaluation of the LSP encoding performance
  • Keywords
    computational complexity; linear predictive coding; speech coding; vector quantisation; VQ-LVQ; encoding performance; implementational complexity; speech LPC coefficients; speech line spectrum pair parameters; survivor path search complexity; vector quantization-lattice vector quantization; Computer science; Distortion measurement; Encoding; Lattices; Linear predictive coding; Redundancy; Reflection; Speech analysis; Speech coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
  • Conference_Location
    Adelaide, SA
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-1775-0
  • Type

    conf

  • DOI
    10.1109/ICASSP.1994.389243
  • Filename
    389243