Reviewing Speaker Recognition Influence in Strengthening VOIP Caller Authentication

This paper focuses on authentication issues and user ID detection depending on the voice signature of the incoming Voice over IP (VoIP) calls. Firstly, a complete speaker recognition system based on LPC feature extraction and decision based on Artificial Neural Network was described and built using MATLAB package. Then, MATLAB package was used to develop a simplified prototype version of the modified SIP protocol which is used to manage calls establishment among the network nodes. These codes were written for both SIP server and client nodes. The modified SIP protocol was implemented on an experimental network which is built to demonstrate the operation of the enhanced authentication procedure.