JOIN (Jurnal Online Informatika)
Vol 7 No 1 (2022)

Automatic Detection of Hijaiyah Letters Pronunciation using Convolutional Neural Network Algorithm

Yana Aditia Gerhana (Faculty of Information and Communication Technology, Asia e-University
Department of Informatics, UIN Sunan Gunung Djati Bandung)

Aaz Muhammad Hafidz Azis (UIN Sunan Gunung Djati Bandung)
Diena Rauda Ramdania (UIN Sunan Gunung Djati Bandung)
Wildan Budiawan Dzulfikar (UIN Sunan Gunung Djati Bandung)
Aldy Rialdy Atmadja (UIN Sunan Gunung Djati Bandung)
Deden Suparman (UIN Sunan Gunung Djati Bandung)
Ayu Puji Rahayu (Faculty of Education Fujian Normal University Fuzhou, China)



Article Info

Publish Date
30 Jun 2022

Abstract

Abstract— Speech recognition technology is used in learning to read letters in the Qur'an. This study aims to implement the CNN algorithm in recognizing the results of introducing the pronunciation of the hijaiyah letters. The pronunciation sound is extracted using the Mel-frequency cepstral coefficients (MFCC) model and then classified using a deep learning model with the CNN algorithm. This system was developed using the CRISP-DM model. Based on the results of testing 616 voice data of 28 hijaiyah letters, the best value was obtained for accuracy of 62.45%, precision of 75%, recall of 50% and f1-score of 58%.

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Journal Info

Abbrev

join

Publisher

Subject

Computer Science & IT

Description

JOIN (Jurnal Online Informatika) is a scientific journal published by the Department of Informatics UIN Sunan Gunung Djati Bandung. This journal contains scientific papers from Academics, Researchers, and Practitioners about research on informatics. JOIN (Jurnal Online Informatika) is published ...