An approach for pronunciation classification of classical arabic phonemes using deep learning

A Asif, H Mukhtar, F Alqadheeb, HF Ahmad… - Applied Sciences, 2021 - mdpi.com
A mispronunciation of Arabic short vowels can change the meaning of a complete sentence.
For this reason, both the students and teachers of Classical Arabic (CA) are required extra …

[PDF][PDF] A machine learning model for the identification of the holy quran reciter utilizing k-nearest neighbor and artificial neural networks

MM Al Anazi, OR Shahin - Inf. Sci. Lett, 2022 - digitalcommons.aaru.edu.jo
The method of identification of the Holy Quran reciter, which is entered on the various
features of the acoustic wave, is referred to as the Holy Quran Reciter Identification. The …

[PDF][PDF] A Modified MFCC for Improved Wavelet-Based Denoising on Robust Speech Recognition.

R Hidayat, A Winursito - International Journal of Intelligent Engineering & …, 2021 - inass.org
Research on the current speech recognition system leads to the creation of a noise-resistant
system. The Mel Frequency Cepstral Coefficients (MFCC) extraction method becomes a …

[PDF][PDF] Pengaruh Tahfidz Metode Talaqqi Online terhadap Pengenalan Hijaiyah TK Program Tahfidz Sleman

S Prathiwi, A Syamsudin - … Obsesi: Jurnal Pendidikan Anak Usia Dini, 2021 - academia.edu
Program tahfidz semakin marak dilakukan secara implisit atau eksplisit pada kurikulum TK.
Penelitian dilaksanakan dengan tujuan menguji pengaruh kemampuan tahfidz metode …

Quran reciter identification using NASNetLarge

HA Saber, A Younes, M Osman, I Elkabani - Neural Computing and …, 2024 - Springer
Speaker identification has significant advantages for the field of human–computer
interaction. Recently, many scholars have made contributions in this field and successfully …

Automatic Detection of Hijaiyah Letters Pronunciation using Convolutional Neural Network Algorithm

YA Gerhana, AMH Azis, DR Ramdania… - Jurnal Online …, 2022 - join.if.uinsgd.ac.id
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 …

Legal responsibility towards personal data controller due to dissemination of personal data

PJ Karu, F Febriansyah - Journal of Law Science, 2024 - ejournal.iocscience.org
Rapid technological developments have negative impacts. One of them is a new crime,
namely Cybercrime. One of the objects targeted by cybercrime perpetrators is Personal …

[PDF][PDF] An alternative m-learning scoring approach to automatically evaluate Iqro's pronunciation based on pitch, volume, and rhythm features.

KC Brata, MH Nugraha… - International Journal of …, 2022 - pdfs.semanticscholar.org
The Iqro'has been proven as an effective method to improve literacy for reading Hijaiyah
letters which are the fundamental skill for reading the Qur'an. The Iqro method relies on a …

Analysis of two adjacent articulation Quranic letters based on MFCC and DTW

T AlTalmas, W Sediono, NNWN Hashim… - … on Computer and …, 2018 - ieeexplore.ieee.org
Reciting al-Quran in the correct way is an obligatory duty for Muslims, and therefore learning
al-Quran is a continuous education until the correct recitation is achieved. It is important to …

XGBoost and Convolutional Neural Network Classification Models on Pronunciation of Hijaiyah Letters According to Sanad

AMH Azis, DP Lestari - Jurnal Online Informatika, 2023 - join.if.uinsgd.ac.id
According to Sanad, the pronunciation of Hijaiyah letters can serve as a benchmark for
correct or valid reading based on the makhraj and properties of the letters. However, the …