Cross-Word Modeling for Arabic Speech Recognition

Nonfiction, Science & Nature, Technology, Electronics, Computers, Advanced Computing
Cover of the book Cross-Word Modeling for Arabic Speech Recognition by Dia AbuZeina, Moustafa Elshafei, Springer New York
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Author: Dia AbuZeina, Moustafa Elshafei ISBN: 9781461412137
Publisher: Springer New York Publication: November 25, 2011
Imprint: Springer Language: English
Author: Dia AbuZeina, Moustafa Elshafei
ISBN: 9781461412137
Publisher: Springer New York
Publication: November 25, 2011
Imprint: Springer
Language: English

Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier.

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Cross-Word Modeling for Arabic Speech Recognition utilizes phonological rules in order to model the cross-word problem, a merging of adjacent words in speech caused by continuous speech, to enhance the performance of continuous speech recognition systems. The author aims to provide an understanding of the cross-word problem and how it can be avoided, specifically focusing on Arabic phonology using an HHM-based classifier.

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