• DocumentCode
    3082345
  • Title

    Vector quantizationwith renormalized splits for wideband speech

  • Author

    Ramírez, Miguel Arjona

  • Author_Institution
    Dept. of Electron. Syst. Eng., Univ. of Sao Paulo, São Paulo, Brazil
  • fYear
    2011
  • fDate
    6-8 July 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A method is proposed for split vector quantization (SVQ) that, while keeping up with the lower search complexity inherent to SVQ, reduces the attendant split loss. It operates partially in the training and encoding phases by normalizing the bandwidth covered by each split. The action is completed in the decoding phase by renormalizing the bandwidth spanned by each split of the codebook to that allowed by a nonoverlapping constraint with neighboring split bands. Therefore, the method is referred to as renormalized SPV (RSVQ). The performance of RSVQ is investigated in comparison to standard SVQ for coding line spectral frequency (LSF) vectors that parameterize the spectral envelope of wideband speech and it is found to save four bits, reaching transparent coding at 42 bit/frame.
  • Keywords
    decoding; search problems; spectral analysis; speech processing; vector quantisation; vectors; LSF vectors; RSVQ; attendant split loss; coding line spectral frequency vectors; decoding phase; encoding phase; neighboring split bands; nonoverlapping constraint; renormalized SPV; renormalized splits; renormalizing; search complexity; spectral envelope; split vector quantization; training phase; transparent coding; wideband speech; Distortion measurement; Speech; Speech coding; Training; Vector quantization; Wideband; line spectral frequencies; speech analysis; speech coding; split vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2011 17th International Conference on
  • Conference_Location
    Corfu
  • ISSN
    Pending
  • Print_ISBN
    978-1-4577-0273-0
  • Type

    conf

  • DOI
    10.1109/ICDSP.2011.6004911
  • Filename
    6004911