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010   $a3-319-97710-5
024 7 $a10.1007/978-3-319-97710-2
035   $a(CKB)4100000007334878
035   $a(DE-He213)978-3-319-97710-2
035   $a(MiAaPQ)EBC5626661
035   $a(PPN)232961603
035   $a(EXLCZ)994100000007334878
100   $a20181227d2019      u|         0
101 0 $aeng
135   $aurnn#008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAutomatic Speech Recognition of Arabic Phonemes with Neural Networks $eA Contrastive Study of Arabic and English /$fby Mohammed Dib
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (XIII, 144 p. 100 illus., 96 illus. in color.)
225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
311   $a3-319-97709-1 
327   $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.
330   $aThis book presents a contrastive linguistics study of Arabic and English for the dual purposes of improved language teaching and speech processing of Arabic via spectral analysis and neural networks. Contrastive linguistics is a field of linguistics which aims to compare the linguistic systems of two or more languages in order to ease the tasks of teaching, learning, and translation. The main focus of the present study is to treat the Arabic minimal syllable automatically to facilitate automatic speech processing in Arabic. It represents important reading for language learners and for linguists with an interest in Arabic and computational approaches.
410  0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aPhonology
606   $aLanguage and languages?Study and teaching
606   $aArtificial intelligence
606   $aAcoustics
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aPhonology and Phonetics$3https://scigraph.springernature.com/ontologies/product-market-codes/N34000
606   $aLanguage Teaching$3https://scigraph.springernature.com/ontologies/product-market-codes/O46000
606   $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000
606   $aAcoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/P21069
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aPhonology.
615  0$aLanguage and languages?Study and teaching.
615  0$aArtificial intelligence.
615  0$aAcoustics.
615 14$aSignal, Image and Speech Processing.
615 24$aPhonology and Phonetics.
615 24$aLanguage Teaching.
615 24$aArtificial Intelligence.
615 24$aAcoustics.
676   $a621.382
700   $aDib$b Mohammed$4aut$4http://id.loc.gov/vocabulary/relators/aut$0443210
906   $aBOOK
912   $a9910337610603321
996   $aAutomatic Speech Recognition of Arabic Phonemes with Neural Networks$92204613
997   $aUNINA