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Record Nr. |
UNINA9910337610603321 |
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Autore |
Dib Mohammed |
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Titolo |
Automatic Speech Recognition of Arabic Phonemes with Neural Networks : A Contrastive Study of Arabic and English / / by Mohammed Dib |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XIII, 144 p. 100 illus., 96 illus. in color.) |
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Collana |
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SpringerBriefs in Applied Sciences and Technology, , 2191-530X |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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