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Cross-word modeling for Arabic speech recognition

Author: Dia AbuZeina; Moustafa Elshafei
Publisher: New York, NY : Springer, ©2012.
Series: SpringerBriefs in electrical and computer engineering., SpringerBriefs in speech technology.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Cross-word modeling for Arabic speech recognition
(NL-LeOCL)336428332
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Dia AbuZeina; Moustafa Elshafei
ISBN: 9781461412137 1461412137
OCLC Number: 765960099
Language Note: Text in English and Arabic.
Description: 1 online resource (x, 74 pages) : illustrations.
Contents: An Overview of Speech Recognition Systems --
Arabic Speech Recognition Systems --
The Baseline System --
Cross-Word Pronunciation Variations --
Modeling of Arabic Cross-Word Prononciation Variations.- Performance and Evaluation.
Series Title: SpringerBriefs in electrical and computer engineering., SpringerBriefs in speech technology.
Responsibility: Dia AbuZeina, Moustafa Elshafei.

Abstract:

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  Read more...

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