CNN for speech recognition case study: Recitation Rules of the holy Quran
Last updated: 28 Dec 2024
10.21608/msaeng.2023.225120.1335
speech recognition, Convolutional Neural Networks CNN, Tajweed Rules, Qalqalah, Mel Frequency Cepstral Coefficients MFCC
Dahlia
Omran
Mohammad
Systems and Biomedical Engineering Faculty of Engineering, Cairo university Giza, Egypt
dmoran@msa.edu.eg
Cairo
Ahmed
Kandil
Hisham
Systems and Biomedical Engineering Faculty of Engineering, Cairo university Giza, Egypt
ahkandil@eng1.cu.edu.eg
Cairo
Ahmed
ElBialy
Systems and Biomedical Engineering Faculty of Engineering, Cairo university Giza, Egypt
abialy_86@yahoo.com
Cairo
Sherif
Samy
Systems and Biomedical Engineering Faculty of Engineering, Cairo university Giza, Egypt
shsamy@eng1.cu.edu.eg
Cairo
Sahar
fawzy
Information Technology & Computer Science ,Nile university Giza, Egypt
sfawzi@nu.edu.eg
Cairo
2
4
44144
2023-12-01
2023-07-25
2023-12-01
1
12
2812-5339
2812-4928
https://msaeng.journals.ekb.eg/article_310085.html
https://msaeng.journals.ekb.eg/service?article_code=310085
1
Original Article
2,183
Journal
MSA Engineering Journal
https://msaeng.journals.ekb.eg/
CNN for speech recognition case study: Recitation Rules of the holy Quran
Details
Type
Article
Created At
28 Dec 2024