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190101 ||| eng |
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|a 9783319977102
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|a Dib, Mohammed
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245 |
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|a Automatic Speech Recognition of Arabic Phonemes with Neural Networks
|h Elektronische Ressource
|b A Contrastive Study of Arabic and English
|c by Mohammed Dib
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250 |
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|a 1st ed. 2019
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260 |
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|a Cham
|b Springer International Publishing
|c 2019, 2019
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300 |
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|a XIII, 144 p. 100 illus., 96 illus. in color
|b online resource
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|a 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
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653 |
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|a Language Teaching and Learning
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653 |
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|a Grammar, Comparative and general / Phonology
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653 |
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|a Artificial Intelligence
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653 |
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|a Signal, Speech and Image Processing
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653 |
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|a Language and languages / Study and teaching
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653 |
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|a Phonology and Phonetics
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653 |
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|a Acoustics
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653 |
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|a Artificial intelligence
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653 |
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|a Signal processing
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a SpringerBriefs in Applied Sciences and Technology
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|a 10.1007/978-3-319-97710-2
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|u https://doi.org/10.1007/978-3-319-97710-2?nosfx=y
|x Verlag
|3 Volltext
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|a 621.382
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|a 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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