• DocumentCode
    353056
  • Title

    MSVQ design for packet networks with application to LSF quantization

  • Author

    Khalil, Hosam ; Rose, Kenneth

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2597
  • Abstract
    The design of a multi-stage vector quantizer (MSVQ) based source-channel coding system is optimized for packet networks. Resilience to packet loss is further enhanced by a proposed interleaving approach that ensures that a single lost packet only eliminates a subset of the vector stages. The design is optimized while taking into account compression efficiency, packet loss rate, and the interleaving technique in use. The new source-channel-optimized MSVQ is tested on memoryless line spectral frequency (LSF) parameter quantization in speech coders. A source-channel-optimization MSVQ is shown to yield a gain of up to 2.0 dB in SNR, for coding the LSFs, over traditional MSVQ and to substantially enhance the robustness of packetized speech transmission. Although the formulation is given in the context of packet networks, the work is directly extendible to the broader category of erasure channels
  • Keywords
    combined source-channel coding; memoryless systems; optimisation; packet switching; spectral analysis; telecommunication networks; vector quantisation; vocoders; LSF quantization; MSVQ design; SNR; compression efficiency; erasure channels; interleaving approach; line spectral frequency; memoryless LSF parameter quantization; multi-stage vector quantizer; packet loss rate; packet loss resilience; packet networks; packetized speech transmission; source-channel coding system; source-channel-optimized MSVQ; speech coders; Application software; Decoding; Design optimization; Interleaved codes; Laboratories; Quantization; Resilience; Robustness; Signal design; Speech coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
  • Conference_Location
    Istanbul
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-6293-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2000.860994
  • Filename
    860994