A hybrid approach for Arabic speech recognition

Summary form only given. A recent innovation in artificial research is the integration of multiple artificial intelligent techniques into hybrid intelligent systems. One of the most used integration is the neuro-symbolic one. Some research in this area deals with the integration of expert systems and neural networks. In particular, we are interested with the connectionist expert system (CES) introduced by Gallant; it consists of an expert system implemented throughout a multilayer perceptron. In such a network each neuron has a symbolic significance. We present a CES dedicated to the Arabic speech recognition. So, we implemented a neural network where the input layer represents the acoustical level, the hidden layer, the phonetic level, and the output layer stands for the lexical one.