• DocumentCode
    3623224
  • Title

    Vector quantization of speech LSP parameters using trellis codes and l/sub 1/-norm constraints

  • Author

    J. Pan;T.R. Fischer

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Washington State Univ., Pullman, WA, USA
  • Volume
    2
  • fYear
    1993
  • Firstpage
    17
  • Abstract
    Trellis-coded vector quantization (TCVQ) is used to encode line spectrum pair (LSP) parameters. Three intraframe encoding schemes are considered: direct encoding of the LSP vectors, encoding the differences of LSP parameters, and using nonlinear prediction in encoding the LSP vectors. The last encoding scheme is the best; it can achieve 1-dB spectral distortion using about 27 bits for each speech frame. An alternative LSP coder based on an l/sub 1/-norm constrained vector quantizer is also described. This two-stage VQ encoding scheme uses 25 bits/frame to achieve about 1-dB spectral distortion.
  • Keywords
    "Vector quantization","Speech coding","Convolutional codes","Linear predictive coding","Encoding","Distortion measurement","Filters","Frequency","Computer science","Nonlinear distortion"
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0946-4;0-7803-7402-9;0-7803-7402-9;0-7803-7402-9;0-7803-7402-9
  • Type

    conf

  • DOI
    10.1109/ICASSP.1993.319217
  • Filename
    319217