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What is An Approach For Pronunciation Classification of Classical Arabic Phonemes Using Deep Learning about?

The document presents a deep learning approach for classifying the pronunciation of Classical Arabic short vowels, addressing the challenges posed by mispronunciations that can alter meanings. A new audio dataset was created, and a deep neural network model achieved a testing accuracy of 95.77% in recognizing Arabic phonemes. The research aims to enhance the learning process for students and teachers by automating pronunciation evaluation, thereby facilitating better Arabic language education.

Author

akalbangkit

Language

EN