Cross-Word Modeling for Arabic Speech Recognition

• Main Authors: AbuZeina, Dia (Author), Elshafei, Moustafa (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US : Imprint: Springer, 2012.
• Series: SpringerBriefs in Electrical and Computer Engineering,
• Subjects: Engineering.; User interfaces (Computer systems).; Computational linguistics.; Arabic language.; Electrical engineering.; Signal, Image and Speech Processing.; Language Translation and Linguistics.; Computational Linguistics.; Communications Engineering, Networks.; User Interfaces and Human Computer Interaction.; Arabic.
• Physical Description: X, 74 p. 15 illus., 1 illus. in color. online resource.
• ISBN: 9781461412137
• ISSN: 2191-8112

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.