• DocumentCode
    2223466
  • Title

    Voiceprint Verification Based on Two-Level Decision HMM-UBM

  • Author

    Chen, Yan ; Hong, Qingyang

  • Author_Institution
    Inst. of Artificial Intell., Xiamen Univ., Xiamen, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    3556
  • Lastpage
    3559
  • Abstract
    Voiceprint recognition is a new technology of biology authentication, and the most important task of it is to reduce both the false rejection rate (FRR) and false acceptation rate (FAR). To build a highly reliable voiceprint recognition system, this paper proposes three novel methods: two-level decision based on HMM-UBM, Model Distance and Dynamic Threshold. The evaluation results demonstrated that our methods had good performance.
  • Keywords
    hidden Markov models; speaker recognition; biology authentication; false acceptation rate; false rejection rate; model distance-dynamic threshold; two-level decision HMM-UBM; voiceprint verification; Artificial intelligence; Authentication; Automatic speech recognition; Biological system modeling; Hidden Markov models; Loudspeakers; Sequences; Spectrogram; Speech processing; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.1342
  • Filename
    5455152