Automatic Speech Recognition of Arabic Phonemes with Neural Networks

Automatic Speech Recognition of Arabic Phonemes with Neural Networks
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A Contrastive Study of Arabic and English
 eBook
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Artikel-Nr:
9783319977102
Veröffentl:
2018
Einband:
eBook
Seiten:
144
Autor:
Mohammed Dib
Serie:
SpringerBriefs in Applied Sciences and Technology
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

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.
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.
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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