Cross-Word Modeling for Arabic Speech Recognition

Cross-Word Modeling for Arabic Speech Recognition by Dia AbuZeina, Moustafa Elshafei.

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...

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Bibliographic Details
Main Authors: AbuZeina, Dia (Author), Elshafei, Moustafa (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2012.
Edition:1st ed. 2012.
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Springer eBook Collection.
Subjects:
Signal processing.
Image processing.
Speech processing systems.
Natural language processing (Computer science).
Computational linguistics.
Electrical engineering.
User interfaces (Computer systems).
Arabic language.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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