Cross-Word Modeling for Arabic Speech Recognition [electronic resource] /
AbuZeina, Dia.author.
Elshafei, Moustafa.author.
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.
Description based upon print version of record.
Includes bibliographical references and index.
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.
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.
Signal processing.
Image processing.
Speech processing systems.
Natural language processing (Computer science).
Computational linguistics.
Electrical engineering.
User interfaces (Computer systems).
Arabic language.
Signal, Image and Speech Processing.
Natural Language Processing (NLP).
Computational Linguistics.
Communications Engineering, Networks.
User Interfaces and Human Computer Interaction.
Arabic.

SpringerBriefs in Electrical and Computer Engineering