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SpringerBriefs in Speech Technology
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SpringerBriefs in Speech Technology
AbuZeina, Dia; Elshafei, Moustafa
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.
Details
Published by: Springer
Publication Date: 2011-11-24
Format: Paperback
ISBN-13: 9781461412120
DOI: 10.1007/978-1-4614-1213-7
Dimensions: 235cm x155cm
Pages: 74