| Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English 2019 Edition Contributor(s): Dib, Mohammed (Author) |
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ISBN: 3319977091 ISBN-13: 9783319977096 Publisher: Springer OUR PRICE: $52.24 Product Type: Paperback Published: January 2019 |
| Additional Information |
| BISAC Categories: - Technology & Engineering | Electronics - General - Language Arts & Disciplines | Linguistics - Phonetics & Phonology - Education | Teaching Methods & Materials - Language Arts |
| Dewey: 006.3 |
| Series: Springerbriefs in Applied Sciences and Technology |
| Physical Information: 0.34" H x 6.14" W x 9.21" (0.51 lbs) 144 pages |
| Descriptions, Reviews, Etc. |
| Publisher 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. |