We are interested to this last, which is based on Hidden Markov Models (HMMs). Open source speech recognition systems are available too, such as HTK, ISIP, AVCSR and CMU Sphinx-4. View the importance of ASR too many systems are developed, the most popular are: Dragon Naturally Speaking, IBM Via voice, Microsoft SAPI.

It is a technology which makes life easier and very promising. ASR can help also, handicapped people to interact with society. It has a wide area of applications: Command recognition (Voice user interface with the computer), Dictation, Interactive Voice Response, it can be used to learn a foreign language. INTRODUCTION Automatic Speech Recognition (ASR) is a technology thatĪllows a computer to identify the words that a person speaks into a microphone or telephone. Keywords: Speech recognition, Arabic language, HMMs, CMUSphinx-4, Artificial intelligence. We will demonstrate the possible adaptability of this system to Arabic voice recognition. We build a model using utilities from the OpenSource CMU Sphinx.

CMU Sphinx is a large-vocabulary speaker-independent, continuous speech recognition system based on discrete Hidden Markov Models (HMMs). This system is based on the open source CMU Sphinx-4, from the Carnegie Mellon University. We propose a novel approach to build an Arabic Automated Speech Recognition System (ASR). Abstract In this paper Arabic was investigated from the speech recognition problem point of view.

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