Automatic Speech Recognition of Arabic Phonemes with Neural Networks (Record no. 76517)
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fixed length control field | 03152nam a22006015i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-319-97710-2 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801214604.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 181227s2019 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783319977102 |
-- | 978-3-319-97710-2 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
100 1# - AUTHOR NAME | |
Author | Dib, Mohammed. |
245 10 - TITLE STATEMENT | |
Title | Automatic Speech Recognition of Arabic Phonemes with Neural Networks |
Sub Title | A Contrastive Study of Arabic and English / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2019. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIII, 144 p. 100 illus., 96 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Applied Sciences and Technology, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-97710-2 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
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-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2019. |
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-- | computer |
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-- | online resource |
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347 ## - | |
-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal processing. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Grammar, Comparative and general—Phonology. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Language and languages—Study and teaching. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Acoustics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Speech and Image Processing . |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Phonology and Phonetics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Language Teaching and Learning. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Artificial Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Acoustics. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-5318 |
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-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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