Authors : Rachid Hamdi and Mouldi Bedda
Abstract: 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.
Rachid Hamdi and Mouldi Bedda , 2006. Arabic Speech Synthesis Using Optimized Neural Networks with Genetic Algorithms. Asian Journal of Information Technology, 5: 686-690.