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

• Κύριος συγγραφέας: Dib, Mohammed (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Phonology.; Language and languages-Study and teaching.; Artificial intelligence.; Acoustics.; Signal, Image and Speech Processing.; Phonology and Phonetics.; Language Teaching.; Artificial Intelligence.
• Φυσική περιγραφή: XIII, 144 p. 100 illus., 96 illus. in color. online resource.
• ISBN: 9783319977102
• ISSN: 2191-530X
• DOI: 10.1007/978-3-319-97710-2

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.