• DocumentCode
    2167118
  • Title

    An embedded voiceprint recognition system based on GMM

  • Author

    Jian, Mao ; Yongmei, Li

  • Author_Institution
    College of Electronic Science and Engineering National University of Defense Technology Changsha, China
  • fYear
    2015
  • fDate
    22-24 July 2015
  • Firstpage
    38
  • Lastpage
    41
  • Abstract
    Gaussian mixture model (GMM) is a kind of probability and statistics model attracted much attention for its scalability and effectiveness, which is considered to be a suitable modeling algorithm for voiceprint recognition. The process of voiceprint recognition with GMM is introduced in this paper. And an embedded voiceprint recognition system is designed for the intelligent control. The experiment demonstrates the performance of algorithm and system.
  • Keywords
    Feature extraction; Hidden Markov models; Mel frequency cepstral coefficient; Spectrogram; Speech; Speech recognition; Testing; GMM; Voiceprint; embedded system; recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2015 10th International Conference on
  • Conference_Location
    Cambridge, United Kingdom
  • Print_ISBN
    978-1-4799-6598-4
  • Type

    conf

  • DOI
    10.1109/ICCSE.2015.7250214
  • Filename
    7250214
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2167118