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Introduction to Arabic Speech Recognition Using CMUSphinx System by Satori, H.; Harti, M.; Chenfour, N. is a scholarly article available to read on EtoBox.

What is Introduction to Arabic Speech Recognition Using CMUSphinx System about?

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

Author
Satori, H.; Harti, M.; Chenfour, N.
Published
2007
Language
EN

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