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Automatic Speech Recognition of Arabic Phonemes with Neural Networks - A Contrastive Study of Arabic and English (Paperback, 1st ed. 2019) Loot Price: R1,372
Discovery Miles 13 720
Repayment Terms: R129 pm x 12*
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Automatic Speech Recognition of Arabic Phonemes with Neural Networks - A Contrastive Study of Arabic and English (Paperback,...

Automatic Speech Recognition of Arabic Phonemes with Neural Networks - A Contrastive Study of Arabic and English (Paperback, 1st ed. 2019)

Mohammed Dib

Series: SpringerBriefs in Applied Sciences and Technology

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Loot Price R1,372 Discovery Miles 13 720 | Repayment Terms: R129 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: SpringerBriefs in Applied Sciences and Technology
Release date: 2019
First published: 2019
Authors: Mohammed Dib
Dimensions: 235 x 155 x 18mm (L x W x T)
Format: Paperback
Pages: 144
Edition: 1st ed. 2019
ISBN-13: 978-3-319-97709-6
Categories: Books > Language & Literature > Language & linguistics > Phonetics, phonology, prosody (speech)
Books > Science & Mathematics > Physics > Classical mechanics > Sound, vibration & waves (acoustics)
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
Books > Computing & IT > Applications of computing > Audio processing > Speech recognition & synthesis
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General
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LSN: 3-319-97709-1
Barcode: 9783319977096

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