Description: Automatic Speech Recognition of Arabic Phonemes with Neural Networks Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). A Contrastive Study of Arabic and English Author(s): Mohammed Dib Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319977096, 978-3319977096 Synopsis 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.
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Location: Aldershot
End Time: 2024-11-12T09:11:36.000Z
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Book Title: Automatic Speech Recognition of Arabic Phonemes with Neural Ne...
Number of Pages: 144 Pages
Language: English
Publication Name: Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English
Publisher: Springer International Publishing A&G
Publication Year: 2019
Subject: Engineering & Technology, Computer Science, Mechanics
Item Height: 235 mm
Item Weight: 256 g
Type: Study Guide
Author: Mohammed Dib
Series: Springerbriefs in Applied Sciences and Technology
Item Width: 155 mm
Format: Paperback