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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Bibliographic Details
Main Author: Dib, Mohammed
Format: eBook
Language:English
Published: Cham Springer International Publishing 2019, 2019
Edition:1st ed. 2019
Series:SpringerBriefs in Applied Sciences and Technology
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |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 
250 |a 1st ed. 2019 
260 |a Cham  |b Springer International Publishing  |c 2019, 2019 
300 |a XIII, 144 p. 100 illus., 96 illus. in color  |b online resource 
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 
653 |a Language Teaching and Learning 
653 |a Grammar, Comparative and general / Phonology 
653 |a Artificial Intelligence 
653 |a Signal, Speech and Image Processing 
653 |a Language and languages / Study and teaching 
653 |a Phonology and Phonetics 
653 |a Acoustics 
653 |a Artificial intelligence 
653 |a Signal processing 
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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