• DocumentCode
    3384961
  • Title

    Interactive Voice Response with Pattern Recognition Based on Artificial Neural Network Approach

  • Author

    Shah, Syed Ali ; Asar, Azzam ; Shah, Syed

  • Author_Institution
    NWFP Univ. of Eng. & Technol., Peshawar
  • fYear
    2007
  • fDate
    12-13 Nov. 2007
  • Firstpage
    249
  • Lastpage
    252
  • Abstract
    In the present era of information technology, information nowadays is just a telephone call away. However, applications such as telephone banking etc. need extra security for making it a reliable service for the people. Application of PIN code/password via telephone is not enough and additional user specific information is required that can protect the user identity in a more effective way. In this paper, we propose an approach that uses interactive voice response (IVR) with pattern recognition based on neural networks. In this case, after entering the correct password the user is asked to input his voice sample which is used to verify his identity. The addition of voice pattern recognition in the authentication process can potentially further enhance the security level. As both are simultaneously applied so there is lesser probability of misuse. The developed system is fully compliant with hind line phone system.
  • Keywords
    interactive systems; neural nets; speech processing; artificial neural network approach; authentication process; interactive voice response; pattern recognition; Artificial neural networks; Authentication; Feature extraction; Information security; Mel frequency cepstral coefficient; Pattern recognition; Spatial databases; Speaker recognition; Speech; Telephony; Interactive voice response; artificial neural network; mel frequency cepstral coefficient; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies, 2007. ICET 2007. International Conference on
  • Conference_Location
    Islamabad
  • Print_ISBN
    978-1-4244-1493-2
  • Electronic_ISBN
    978-1-4244-1494-9
  • Type

    conf

  • DOI
    10.1109/ICET.2007.4516352
  • Filename
    4516352