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Automatic Speech Recognition of Arabic Phonemes with Neural Networks : A Contrastive Study of Arabic and English / by Mohammed Dib

By: Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Applied Sciences and Technology | SpringerLink BücherPublisher: Cham : Springer International Publishing, 2019Description: Online-Ressource (XIII, 144 p. 100 illus., 96 illus. in color, online resource)ISBN:
  • 9783319977102
Subject(s): Additional physical formats: 9783319977096 | 9783319977119 | Erscheint auch als: 978-3-319-97709-6 Druck-Ausgabe | Printed edition: 9783319977096 | Printed edition: 9783319977119 DDC classification:
  • 621.382
LOC classification:
  • TK5102.9 TA1637-1638 TK7882.S65
  • TK5102.9
  • TA1637-1638
  • TK7882.S65
DOI: DOI: 10.1007/978-3-319-97710-2Online resources: Summary: 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 approachesSummary: 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 -- GlossaryPPN: PPN: 1045542989Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE
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