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 (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:SpringerBriefs in Applied Sciences and Technology,
Subjects:
Signal processing.
Grammar, Comparative and general > Phonology.
Language and languages > Study and teaching.
Artificial intelligence.
Acoustics.
Signal, Speech and Image Processing.
Phonology and Phonetics.
Language Teaching and Learning.
Artificial Intelligence.
Online Access:Full-text access
Description
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.
Physical Description:XIII, 144 p. 100 illus., 96 illus. in color. online resource.
ISBN:9783319977102
ISSN:2191-5318
DOI:10.1007/978-3-319-97710-2

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