ENGLISH

Cross-Word Modeling for Arabic Speech Recognition

By Dia AbuZeina , Moustafa Elshafei (auth.)

Book information

Publisher
Springer-Verlag New York
Year
2012
ISBN
978-1-4614-1212-0, 978-1-4614-1213-7
DOI
10.1007/978-1-4614-1213-7
Language
english
Format
PDF
Filesize
1 MB (1071658 bytes)
Series
SpringerBriefs in Electrical and Computer Engineering
Edition
1
Pages
74\82
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Image and Speech Processing; Language TranslationNetworks; User Interfaces and Human Computer InterSignal

Description

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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