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
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;
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
DOI :
10.1109/ICET.2007.4516352