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

• Autore: Dib Mohammed
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
• Edizione: 1st ed. 2019.
• Descrizione fisica: 1 online resource (XIII, 144 p. 100 illus., 96 illus. in color.)
• Disciplina: 621.382
• Soggetto topico: 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
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Automatic Speech Recognition of Arabic Phonemes with Neural Networks
• ISBN: 3-319-97710-5
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910337610603321
• Lo trovi qui: Univ. Federico II
• Serie: SpringerBriefs in Applied Sciences and Technology, . 2191-530X