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Automatic Speech Recognition of Arabic Phonemes with Neural Networks

English, Mohammed Dib, 2019
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Product details

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 that aims to compare the linguistic systems of two or more languages 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.

Key specifications

Language
English
Author
Mohammed Dib
Year
2019
Book cover
Paperback

General information

Item number
9484388
Publisher
Springer
Category
Non-fiction
Release date
29.8.2018

Book properties

Language
English
Author
Mohammed Dib
Year
2019
Book cover
Paperback

Voluntary climate contribution

CO₂ emissions
0,94 kg
Climate contribution
EUR 0,12

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30-day right of return if unopened
24 Months statutory warranty
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