Marlina, Lina and Wardoyo, Cipto and Sanjaya, Mada and Anggraeni, Dyah and Dewi, Sinta Fatmala and Rozikin, Akhmad and Maryanti, Sri (2018) Makhraj Recognition of Hijaiyah Letter for Children Based on Mel-Frequency Cepstrum Coefficients (MFCC) and Support Vector Machines (SVM) Method. In: International Conference on Information and Communications Technology (ICOIACT), 6-7 March, Yogyakarta.
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Abstract
Makhraj is the most important thing for Muslim to recite the Holy Quran properly besides of Tajweed. This paper describe the Makhraj recognition of Hijaiyah Letter for children education. To make the Makhraj recognition, the feature extraction is used Mel-Frequency Cepstrum Coefficients (MFCC) method and to classify the Hijaiyah letter use Support Vector Machines (SVM) method based on Python 2.7. The waveform analysis of each Hijaiyah Makhraj pronunciation shows the differences of each letter. The database of Hijaiyah Makhraj pronunciation using 12 feature extraction can be classified by SVM process.
| Item Type: | Conference or Workshop Item (Paper) |
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| Uncontrolled Keywords: | Makhraj Recognition, Hijaiyah Letter, MFCC, SVM, Python |
| Subjects: | Al-Qur'an (Al Qur'an, Alquran, Quran) dan Ilmu yang Berkaitan |
| Divisions: | Pascasarjana Program Magister > Program Studi Pendidikan Bahasa Arab |
| Depositing User: | Mr. Jajang Burhanudin |
| Date Deposited: | 24 Jul 2020 07:11 |
| Last Modified: | 24 Jul 2020 07:11 |
| URI: | https://etheses.uinsgd.ac.id/id/eprint/32174 |
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