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Automatic Speech Recognition of Arabic Phonemes with Neural Networks

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Automatic Speech Recognition of Arabic Phonemes with Neural Networks

A Contrastive Study of Arabic and English

Mohammed Dib

Springer
Collection: SpringerBriefs in Applied Sciences and Technology
Publication date : 2018-12-27

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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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About the book

Author

Mohammed Dib

Imprint

Springer

Collection

SpringerBriefs in Applied Sciences and Technology

Publication date

2018-12-27

Pages

144 pages

Print ISBN

9783319977096

Language

English

Ebook informations

EAN PDF

9783319977102

Price

£44.99

Copy count 1

Print count 14

File size 8069 Ko

Informations accessibility

EAN EPUB

9783319977102

Price

£44.99

Copy count 1

Print count 14

File size 26890 Ko

Informations accessibility

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About author(s)

Mohammed Dib

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