| Autor: |
Ahmed M. El-Bialy, Karim Aly Mohammad, Ahmed H. Kandil, Sahar Fawzi |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES). |
| DOI: |
10.1109/niles53778.2021.9600505 |
| Popis: |
A consistency analysis is performed for one of the famous Tajweed rules in the Holy Quran - Madd rules. They are tested on records of one of the famous reference reciters - Sheikh El-Hosary-to find a consistent boundaries and to evaluate the performance of other new learners. A vowel detection algorithm is used to detect the duration of the detected Madd patterns. This algorithm was applied on a dataset of 105 minutes of Quranic records of Sheikh El-Hosary. The consistency result is found to be normally distributed with a mean of 0.379 second of one movement time of Madd and standard deviation of 0.058 second and minimum consistency of 84.6% for 68% of the detected Madd patterns. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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