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
Link To Document