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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Add this copy of Cross-Word Modeling for Arabic Speech Recognition to cart. $6.02, very good condition, Sold by Suffolk Books rated 5.0 out of 5 stars, ships from center moriches, NY, UNITED STATES, published 2011 by Springer-Verlag New York Inc..
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New. Contains: Illustrations, black & white, Illustrations, color. SpringerBriefs in Speech Technology . X, 74 p. 15 illus., 1 illus. in color. Intended for professional and scholarly audience.
Add this copy of Cross-Word Modeling for Arabic Speech Recognition to cart. $58.06, new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2011 by Springer-Verlag New York Inc..
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New. Contains: Illustrations, black & white, Illustrations, color. SpringerBriefs in Speech Technology . X, 74 p. 15 illus., 1 illus. in color. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.
