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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English

Automatic Speech Recognition of Arabic Phonemes with Neural Networks: A Contrastive Study of Arabic and English

Dib, Mohammed

Paperback

Series: Springerbriefs in Applied Sciences and Technology

LinguisticsTechnology & EngineeringTeaching Instruction

ISBN10: 3319977091
ISBN13: 9783319977096
Publisher: Springer Nature
Published: Jan 10 2019
Pages: 144
Weight: 0.51
Height: 0.34 Width: 6.14 Depth: 9.21
Language: English
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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