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Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English

Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English

Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English

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(SpringerBriefs in Applied Sciences and Technology) 1st ed. 2019 edition 

by Mohammed Dib (Author) 

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.

Year 2019
Pages 153
Language English
Format PDF
Size 8 MB
ISBN-10 3319977091
ISBN-13 978-3319977096
ASIN B07FNFPHLF