Automatic Speech Recognition of Arabic Phonemes with Neural Networks [electronic resource] : A Contrastive Study of Arabic and English / by Mohammed Dib.
By: Dib, Mohammed [author.]
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Contributor(s): SpringerLink (Online service).
Material type: 
BookSeries: SpringerBriefs in Applied Sciences and Technology: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Edition: 1st ed. 2019.Description: XIII, 144 p. 100 illus., 96 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319977102.Subject(s): Signal processing | Grammar, Comparative and general—Phonology | Language and languages—Study and teaching | Artificial intelligence | Acoustics | Signal, Speech and Image Processing | Phonology and Phonetics | Language Teaching and Learning | Artificial Intelligence | AcousticsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online 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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