Interactive administration service based on HMM speech recognition system
by Mohamed Hamidi; Hassan Satori; Ouissam Zealouk; Khalid Satori; Naouar Laaidi
International Journal of Computer Aided Engineering and Technology (IJCAET), Vol. 16, No. 2, 2022

Abstract: The objective of this study is designing a secure interactive Amazigh speech system over the VoIP network. Our work explores the use of interactive voice response (IVR) system to manage the firewall and backup tasks where a voice platform was created based on HMM automatic speech recognition. To increase the security level the biological voiceprint is adopted for identification and management tasks. The speech system is trained to recognise the five words, 33 alphabets and ten first digits of Amazigh language. We performed experiences by varying IVR and ASR system parameters to manage a distant voice control administration system of the network. Our finding shows that the best performance for admin test is above 80% when the system was trained by using three HMMs and eight GMMs whereas the non-admin recognition rate is less than 5% which demonstrates the security aspect of our system.

Online publication date: Fri, 11-Feb-2022

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