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Features identification and classification of alphabet (ro) in leaning (Al-Inhiraf) and repetition (Al-Takrir) characteristics

Khairuddin, Safiah and Ahmad, Salmiah and Embong, Abd Halim and Nik Hashim, Nik Nur Wahidah and Hassan, Surul Shahbudin (2019) Features identification and classification of alphabet (ro) in leaning (Al-Inhiraf) and repetition (Al-Takrir) characteristics. In: "2019 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2019", 29 June 2019, Selangor.

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—It is important for Muslim to recite the Quran properly with the correct Tajweed. which includes the use of correct characteristics (sifaat) and point of articulations (makhraj). To this date, there are limited researches done focusing on classifying the Quranic letters according to the characteristics. In this study, the focus is given to the classification of the characteristics of the Quranic letters for the purpose of developing an automated self-learning system for supporting the conventional method of Quranic teaching and learning. The characteristics of Quranic letters, which are the focus in this paper are Leaning and Repeating, where both consists of ر) ro) alphabet. Several methods of feature extractions and analysis were implemented such as Formant Analysis, Power Spectral Density (PSD), and Mel Frequency Cepstral Coefficient (MFCC) to come out with the suitable features that best represent the correct characteristics of the alphabet. Once the features had been identified, Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) were used as the classifier. The results show that QDA with all 19 features trained achieved the highest percentage accuracy for both Leaning (اإلنحراف – Al-Inhiraf) and ّكرير) Repetition الت– Al-Takrir) characteristics with of 82.1% and 95.8% of accuracy respectively

Item Type: Conference or Workshop Item (Plenary Papers)
Additional Information: 4113/79729
Uncontrolled Keywords: Formant, Power spectral density, MFCC, Linear discriminant analysis, Quadratic discriminant analysis
Subjects: B Philosophy. Psychology. Religion > BP Islam. Bahaism. Theosophy, etc > BP134.S3 Quran and Science
T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Biotechnology Engineering
Depositing User: Ir. Dr. Salmiah Ahmad
Date Deposited: 24 Jun 2020 13:08
Last Modified: 09 Jul 2020 14:43
URI: http://irep.iium.edu.my/id/eprint/79729

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