Automatic Speech Recognition of Arabic Phonemes with Neural Networks A Contrastive Study of Arabic and English /

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 tw...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Dib, Mohammed (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:SpringerBriefs in Applied Sciences and Technology,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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003 DE-He213
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100 1 |a Dib, Mohammed.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Automatic Speech Recognition of Arabic Phonemes with Neural Networks  |h [electronic resource] :  |b A Contrastive Study of Arabic and English /  |c by Mohammed Dib. 
250 |a 1st ed. 2019. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2019. 
300 |a XIII, 144 p. 100 illus., 96 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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490 1 |a SpringerBriefs in Applied Sciences and Technology,  |x 2191-530X 
505 0 |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. 
520 |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. 
650 0 |a Signal processing. 
650 0 |a Image processing. 
650 0 |a Speech processing systems. 
650 0 |a Phonology. 
650 0 |a Language and languages-Study and teaching. 
650 0 |a Artificial intelligence. 
650 0 |a Acoustics. 
650 1 4 |a Signal, Image and Speech Processing.  |0 http://scigraph.springernature.com/things/product-market-codes/T24051 
650 2 4 |a Phonology and Phonetics.  |0 http://scigraph.springernature.com/things/product-market-codes/N34000 
650 2 4 |a Language Teaching.  |0 http://scigraph.springernature.com/things/product-market-codes/O46000 
650 2 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
650 2 4 |a Acoustics.  |0 http://scigraph.springernature.com/things/product-market-codes/P21069 
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776 0 8 |i Printed edition:  |z 9783319977096 
776 0 8 |i Printed edition:  |z 9783319977119 
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856 4 0 |u https://doi.org/10.1007/978-3-319-97710-2  |z Full Text via HEAL-Link 
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950 |a Engineering (Springer-11647)