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Cross-Word Modeling for Arabic Speech Recognition de Dia AbuZeina

Cross-Word Modeling for Arabic Speech Recognition: SpringerBriefs in Speech Technology

Autor Dia AbuZeina, Moustafa Elshafei
en Limba Engleză Paperback – 24 noi 2011
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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Specificații

ISBN-13: 9781461412120
ISBN-10: 1461412129
Pagini: 75
Ilustrații: X, 74 p. 15 illus., 1 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.4 kg
Ediția:2012
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Speech Technology

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

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.

Caracteristici

Contents and results will be presented with help of an up-and-running ASR system Examines Arabic phonology, using an HHM-based classifier Uses phonological rules to overcome what is known as the cross-word problem Includes supplementary material: sn.pub/extras