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Book Cover
E-book
Author Dib, Mohammed, author.

Title Automatic speech recognition of Arabic phonemes with neural networks : a contrastive study of Arabic and English / Mohammed Dib
Published Cham, Switzerland : Springer, [2019]

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Description 1 online resource
Series SpringerBriefs in applied sciences and technology
SpringerBriefs in applied sciences and technology.
Contents 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
Summary 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
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (EBSCO, viewed January 02, 2019)
In Springer eBooks
Subject Contrastive linguistics.
Arabic language -- Data processing.
English language -- Data processing.
Computational linguistics.
Automatic speech recognition.
computational linguistics.
LANGUAGE ARTS & DISCIPLINES -- Linguistics -- Historical & Comparative.
Arabic language -- Data processing
Automatic speech recognition
Computational linguistics
Contrastive linguistics
English language -- Data processing
Form Electronic book
ISBN 9783319977102
3319977105
3319977091
9783319977096