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SpringerBriefs in Speech Technology

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

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