Automatic Speech Recognition of Arabic Phonemes with Neural Networks
A Contrastive Study of Arabic and English
Published on 10. January 2019
Book
Paperback/Softback
XIII, 144 pages
978-3-319-97709-6 (ISBN)
Description
This book presents a contrastive linguistics study of Arabic and English for the dual purposes of improved language teaching and speech processing of Arabic via spectral analysis and neural networks. Contrastive linguistics is a field of linguistics which aims to compare the linguistic systems of two or more languages in order to ease the tasks of teaching, learning, and translation. The main focus of the present study is to treat the Arabic minimal syllable automatically to facilitate automatic speech processing in Arabic. It represents important reading for language learners and for linguists with an interest in Arabic and computational approaches.
More details
Series
Edition
2019 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
4 s/w Abbildungen, 96 farbige Abbildungen
XIII, 144 p. 100 illus., 96 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 9 mm
Weight
254 gr
ISBN-13
978-3-319-97709-6 (9783319977096)
DOI
10.1007/978-3-319-97710-2
Schweitzer Classification
Other editions
Additional editions
Mohammed Dib
Automatic Speech Recognition of Arabic Phonemes with Neural Networks
A Contrastive Study of Arabic and English
E-Book
12/2018
1st Edition
Springer
€53.49
Available for download
Person
Mohammed Dib is a Doctor (Maitre de conference A) at the University of Mascara in the English department. He studied at the University of Tlemcen, where he received his license in English, his Magister, and his doctorate in applied linguistics (English-Arabic). His area of interest is contrastive studies in English and Arabic phonetics, phonology, signal processing, speech recognition, and automatic translation. Dr. Dib performed the research for this volume at the Laboratory of Automatic Treatment of the Arabic Language at the University of Tlemcen.
Content
Dedication.- Acknowledgements.- 1 Introduction.- 2 The Arabic Phonological System.- 3 The English Phonological System.- 4 A Contrastive Study in English and Arabic.- 5 Arabic Automatic Speech Recognition.- Appendices.- Glossary.