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Speech recognition is the process of the computer identifying human speech to generate a string of words or commands. The output of speech recognition systems can be applied in various fields. Besides, there are many artificial intelligent techniques available for Automatic Speech Recognition (ASR) development, and hybrid technology is one of it. The common hybrid technique in speech recognition is the combination of Hidden Markov Models (HMMs) and Artificial Neural Networks (ANNs). In this research, Sphinx approach is applied to integrate the advantage of the sequential modeling structure and its pattern classification. Outcome from this paper will assist in next phase of the research which is focusing on building an Arab language speech recognizer by Sphinx4 engine process approach.