• DocumentCode
    3092263
  • Title

    An effective identification method for speaker recognition based on PCA and double VQ

  • Author

    Zhao, Zhen-dong ; Zhang, Jing ; Tian, Jing-feng ; Lou, Yun-yong

  • Author_Institution
    Dept. of Electron. & Commun. Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1686
  • Lastpage
    1689
  • Abstract
    Recognition rate is always the research focus in speaker recognition, however, recognition response speed also is the key which determines the practices of the system. For the phenomenon that recognition response speed is slow in large crowds, in this paper, a new recognition method is proposed, which takes advantage of that PCA classifier is simple and double VQ is real-time response: Firstly, PCA Classifier is used for preliminary classification, then make the final distinguishing using double VQ. In this way, the system´ recognition time greatly reduced. With the growth of registration speakers, compared with conventional speaker recognition method, the advantage of this method will be more apparent.
  • Keywords
    principal component analysis; speaker recognition; vector quantisation; PCA classifier; double vector quantization; principal component analysis; speaker recognition; Covariance matrix; Cybernetics; Delay; Eigenvalues and eigenfunctions; Machine learning; Principal component analysis; Real time systems; Space technology; Speaker recognition; Vector quantization; Double Vector Quantization; Principal Component Analysis; Speaker Recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212249
  • Filename
    5212249