• DocumentCode
    3353918
  • Title

    Parameter Settings for Speaker Identification using Gaussian Mixture Model

  • Author

    Eskidere, O. ; Ertas, Figen

  • Author_Institution
    Uludag Univ. Teknik Bilimler MYO, Bursa, Turkey
  • fYear
    2007
  • fDate
    11-13 June 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, the impact of the number of Gaussian mixtures, the duration of training and testing sessions, and the number of speakers on speaker identification has been investigated using clean speech (TIMIT) and telephone speech (NTIMIT) databases. Employing the parameters that provide the maximum performance, 100% and 85.71% identification rates have been obtained for the TIMIT and NTIMIT databases, respectively.
  • Keywords
    Gaussian processes; speaker recognition; Gaussian mixture model; clean speech databases; speaker identification; telephone speech databases; Databases; Gaussian processes; Speech; Telephony; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications, 2007. SIU 2007. IEEE 15th
  • Conference_Location
    Eskisehir
  • Print_ISBN
    1-4244-0719-2
  • Electronic_ISBN
    1-4244-0720-6
  • Type

    conf

  • DOI
    10.1109/SIU.2007.4298590
  • Filename
    4298590
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3353918