Automatic Speech Recognition of Arabic Phonemes with Neural Networks (Record no. 76517)

000 -LEADER
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 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2019.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
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
912 ## -
-- ZDB-2-ENG
912 ## -
-- ZDB-2-SXE

No items available.