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Automatic Speech Recognition of Arabic Phonemes with Neural Networks
A Contrastive Study of Arabic and English. SpringerBriefs in Applied Sciences and Technology
By (author)
Mohammed Dib
Genres:
Phonetics, phonology, Language teaching & learning (other than ELT), Wave mechanics (vibration & acoustics), Imaging systems & technology, Artificial intelligence, Neural networks & fuzzy systems, Speech recognition
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Synopsis
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. New & Used
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