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Automatic Speech Recognition of Arabic Phonemes with Neural Networks - A Contrastive Study of Arabic and English (Paperback, 1st ed. 2019)
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Automatic Speech Recognition of Arabic Phonemes with Neural Networks - A Contrastive Study of Arabic and English (Paperback, 1st ed. 2019)
Series: SpringerBriefs in Applied Sciences and Technology
Expected to ship within 18 - 22 working days
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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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