• DocumentCode
    312139
  • Title

    Simple fast vector quantization of the line spectral frequencies

  • Author

    Zhou, Jin ; Shoham, Yair ; Akansu, Ali

  • Author_Institution
    Bell Labs., Lucent Technol., Murray Hill, NJ, USA
  • Volume
    2
  • fYear
    1996
  • fDate
    3-6 Oct 1996
  • Firstpage
    945
  • Abstract
    The authors propose a simple fast-search VQ of the LSFs to be used on top of the split VQ, that is, in each of the sub-vector domains. The main trait of the proposed method is that no suboptimal codebooks are used and there is no further reduction in performance. In each sub-vector domain, a full-size optimally trained codebook typically of size 1024, is searched using a fast-search algorithm. The result of this search is identical to that of a full-search, yet, only about 25% of a full-search complexity is needed
  • Keywords
    speech coding; vector quantisation; fast-search algorithm; full-search complexity; full-size optimally trained codebook; line spectral frequencies; simple fast vector quantization; sub-vector domains; Bit rate; Computational complexity; Feature extraction; Focusing; Frequency; Image coding; Interpolation; Modems; Speech coding; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spoken Language, 1996. ICSLP 96. Proceedings., Fourth International Conference on
  • Conference_Location
    Philadelphia, PA
  • Print_ISBN
    0-7803-3555-4
  • Type

    conf

  • DOI
    10.1109/ICSLP.1996.607758
  • Filename
    607758