Automatic Speech Recognition of Arabic Phonemes with Neural Networks : A Contrastive Study of Arabic and English
Dib, Mohammed
Automatic Speech Recognition of Arabic Phonemes with Neural Networks : A Contrastive Study of Arabic and English by Mohammed Dib. - 1 recurso en línea (XIII, 144 páginas) 100 ilustraciones, 96 ilustraciones a color - Engineering (Springer-11647) SpringerBriefs in Applied Sciences and Technology 2191-530X .
Dedication -- Acknowledgements -- 1 Introduction -- 2 The Arabic Phonological System -- 3 The English Phonological System -- 4 A Contrastive Study in English and Arabic -- 5 Arabic Automatic Speech Recognition -- Appendices -- Glossary.
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.
9783319977102
10.1007/978-3-319-97710-2 doi
Lingüística contrastiva
Lingüística computacional
Inteligencia artificial
P134 / 2019 EB
Automatic Speech Recognition of Arabic Phonemes with Neural Networks : A Contrastive Study of Arabic and English by Mohammed Dib. - 1 recurso en línea (XIII, 144 páginas) 100 ilustraciones, 96 ilustraciones a color - Engineering (Springer-11647) SpringerBriefs in Applied Sciences and Technology 2191-530X .
Dedication -- Acknowledgements -- 1 Introduction -- 2 The Arabic Phonological System -- 3 The English Phonological System -- 4 A Contrastive Study in English and Arabic -- 5 Arabic Automatic Speech Recognition -- Appendices -- Glossary.
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.
9783319977102
10.1007/978-3-319-97710-2 doi
Lingüística contrastiva
Lingüística computacional
Inteligencia artificial
P134 / 2019 EB