Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English (SpringerBriefs in Applied Sciences and Technology)

"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"--Publisher's description Front Matter ....Pages i-xiii Introduction (Mohammed Dib)....Pages 1-6 The Arabic Phonological System (Mohammed Dib)....Pages 7-19 The English Phonological System (Mohammed Dib)....Pages 21-30 A Contrastive Phonological Study of English and Arabic (Mohammed Dib)....Pages 31-60 Arabic Automatic Speech Recognition (Mohammed Dib)....Pages 61-91 Back Matter ....Pages 93-144