Automatic Speech Recognition of Arabic Phonemes with Neural Networks : A Contrastive Study of Arabic and English / by Mohammed Dib.
By: Dib, Mohammed
Contributor(s): SpringerLink (Online service)
Series: (Engineering (Springer-11647)); (SpringerBriefs in Applied Sciences and Technology, 2191-530X).Publisher: Cham : Imprint: Springer, 2019Description: 1 recurso en línea (XIII, 144 páginas) : 100 ilustraciones, 96 ilustraciones a color.ISBN: 9783319977102.Subject: Lingüística contrastiva
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | P134 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062601 |
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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.
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.
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