English digits speech recognition system based on Hidden Markov Models by Abushariah, Ahmad A. M., Gunawan, Teddy Surya, Khalifa, Othman Omran, Abushariah, Mohammad Abd-Alrahman Mahmoud

“…This work was based on the Hidden Markov Model (HMM), which provides a highly reliable way for recognizing speech. …”
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Natural speaker-independent Arabic speech recognition system based on Hidden Markov Models using Sphinx tools by Abushariah, Mohammad A. M., Ainon, Raja N., Zainuddin, Roziati, Elshafei, Moustafa, Khalifa, Othman Omran

“…Subsequently, the system uses five-state Hidden Markov Models (HMM) with three emitting states for tri-phone acoustic modeling. …”
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Recognition techniques for online Arabic handwriting recognition systems by Abuzaraida, Mustafa Ali, Zeki, Akram M., Zeki, Ahmed M.

“…However, different techniques have been used to build several online handwritten recognition systems for Arabic text, such as Neural Networks, Hidden Markov Model, Template Matching and others. Most of the researches on online text recognition have divided the recognition system into these three main phases which are preprocessing phase, feature extraction phase and recognition phase which considers as the most important phase and the heart of the whole system. …”
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Phonetically rich and balanced speech corpus for Arabic speaker-independent continuous automatic speech recognition systems by Abushariah, Mohammad Abd-Alrahman Mahmoud, Ainon, Raja Noor, Zainuddin, Roziati, Elshafei, Moustafa, Khalifa, Othman Omran

“…The speech engine uses 3-emitting state Hidden Markov Models (HMM) for tri-phone based acoustic models. …”
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