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Asian Journal of Information Technology

Year: 2006  |  Volume: 5  |  Issue: 7  |  Page No.: 686 - 690

Arabic Speech Synthesis Using Optimized Neural Networks with Genetic Algorithms

Rachid Hamdi and Mouldi Bedda


This study describes a concept of an Arabic speech synthesis based on optimized neural networks. The genetic algorithm is used to perform the connection weight update. An Arabic database which contains subjects, verbs and complements and a speech synthesizer, whose objective is to make educational oriented verbal Arab sentences, is developed. Based on parallel architecture of neural networks, the system receives a set of sentences of three words. The structure of the network, the algorithms and the results are detailed.