Interactive Voice Response Server Voice Network Administration Using Hidden Markov Model Speech Recognition System

This paper describes our experience to create a secure Telephony Amazigh Spoken System over the network. The designed system was created by combining HMM automatic speech recognition and IVR technologies. It allows the user to control from distance the security network and backup system using his voice to network tasks administration managing and his biological voiceprint for security identification. This research project is carried out using Amazigh language for the interaction system. The designed system was implemented on the open source platform. Our experimental results show that the administrator recognition rates were all above 80 % whereas the non-admin recognition rate is less than 6% which demonstrates the security aspect of our system.