• DocumentCode
    1749282
  • Title

    Online text-independent speaker verification system using autoassociative neural network models

  • Author

    Kishore, S.P. ; Yegnanarayana, B. ; Gangashetty, Suryakanth V.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Madras, India
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1548
  • Abstract
    In this paper, we present an approach based on autoassociative neural network (AANN) model for online implementation of text-independent speaker verification system. The distribution capturing ability of an AANN model is exploited to build the speaker model. A rank-based approach using individual background models is used to verify the claim of the speaker
  • Keywords
    neural nets; online operation; speaker recognition; AANN model; autoassociative neural network models; distribution capturing ability; online text-independent speaker verification system; rank-based approach; Authentication; Biometrics; Computer science; Feature extraction; Feedforward neural networks; Neural networks; Spatial databases; Speech; Testing; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1098-7576
  • Print_ISBN
    0-7803-7044-9
  • Type

    conf

  • DOI
    10.1109/IJCNN.2001.939595
  • Filename
    939595
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1749282