A review of speech recognition with Sphinx engine in language detection

Speech recognition is the process of the computer i dentifying human speech to generate a string of wor ds or commands. The output of speech recognition syste ms can be applied in various fields. Besides, there are many artificial intelligent techniques available fo r Automatic Speech Recognition (ASR) development, a d hybrid technology is one of it. The common hybrid t echnique in speech recognition is the combination o f Hidden Markov Models (HMMs) and Artificial Neural N etworks (ANNs). In this research, Sphinx approach is applied to integrate the advantage of t he 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 Sphi nx4 engine process approach.

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