000 02574nam a22004215i 4500
710 2 _aSpringerLink (Online service)
_9106996
999 _c110909
_d110909
001 110909
003 ES-MaUEC
005 20240111050151.0
006 a||||fo|||| 00| 0
007 cr nn nnnaamaa
008 181227s2019 gw a o |||| 0|eng d
020 _a9783319977102
024 7 _a10.1007/978-3-319-97710-2
_2doi
040 _bspa
_dES-MaUEC
_cES-MaUEC
050 4 _aP134
_b2019 EB
100 1 _aDib, Mohammed
_9671125
245 1 0 _aAutomatic Speech Recognition of Arabic Phonemes with Neural Networks :
_bA Contrastive Study of Arabic and English
_cby Mohammed Dib.
264 1 _aCham
_bImprint: Springer
_c2019
300 _a1 recurso en línea (XIII, 144 páginas)
_b100 ilustraciones, 96 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aEngineering (Springer-11647)
490 0 _aSpringerBriefs in Applied Sciences and Technology
_x2191-530X
505 0 _aDedication -- 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 3 _aThis 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.
650 7 _2embne
_9163670
_aLingüística contrastiva
650 7 _2embne
_9666075
_aLingüística computacional
650 7 _2embne
_aInteligencia artificial
_9413115
776 0 8 _iPrinted edition:
_z9783319977096
776 0 8 _iPrinted edition:
_z9783319977119
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-97710-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
988 _aPrimersemestre_2019_Engineering
998 _aSI
_cm
_dz
_feng
_ggw
_h0
_b10/2019
_ek
_zSI