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Automatic Speech Recognition of Arabic Phonemes with Neural Networks

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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 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.

Availability
Inventory Code Barcode Call Number Location Status
1908001843EB0002477410. Dip aCentral LibraryAvailable
Detail Information
Series Title
SpringerBriefs in Applied Sciences and Technology
Call Number
410. Dip a
Publisher
Switzerland : Springer Cham.,
Collation
XIII, 144p.:Ill
Language
English
ISBN/ISSN
978-3-319-97710-2
Classification
410.
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
1
Subject(s)
Automatic speech recognition
Specific Detail Info
-
Statement of Responsibility
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No other version available

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