TY  - JOUR
T1  - Arabic Speech Synthesis Using Optimized Neural Networks with Genetic Algorithms
AU - , Rachid Hamdi AU - , Mouldi Bedda 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 7
SP  - 686
EP  - 690
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.686.690
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.686.690
KW  - Arabic speech synthesis
KW  -neural networks
KW  -genetic algorithms
AB  - 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.
ER  -