• DocumentCode
    3351773
  • Title

    Optimum vector quantization codebook design for speaker recognition

  • Author

    Xin-Yi, Zhang ; Jin-Pei, Wu ; You-Wei, Zhang ; Qi-Shan, Zhang

  • Author_Institution
    Sch. of Electron. Eng. & Inf., BeiHang Univ., Beijing, China
  • Volume
    2
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    1397
  • Abstract
    Vector quantization is a useful method that had been applied to diverse fields such as speaker recognition. This paper describes in detail how to get the optimum vector quantization codebook for the use of speaker recognition. Optimization depends on specific criterion or conditions. The optimization discussed here includes three level optimizations. Level one is locally optimization, level two is globally optimization, level three is personally optimization for speaker recognition.
  • Keywords
    simulated annealing; speaker recognition; speech coding; vector quantisation; SA; optimization; simulated annealing; speaker recognition; vector quantization; Annealing; Face recognition; Fingerprint recognition; Hidden Markov models; Speaker recognition; Speech recognition; Support vector machine classification; Support vector machines; Testing; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1441587
  • Filename
    1441587