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Full-Text Articles in Signal Processing
Quranic Verse Recitation Recognition Module For Support In J-Qaf Learning: A Review, Noor Jamaliah Ibrahim, Zaidi Razak, Zulkifli Mohd Yusoff, Mohd Yamani Idna Idris, Emran Mohd Tamil, Noorzaily Mohamed Noor, Noor Naemah Abdul Rahman
Quranic Verse Recitation Recognition Module For Support In J-Qaf Learning: A Review, Noor Jamaliah Ibrahim, Zaidi Razak, Zulkifli Mohd Yusoff, Mohd Yamani Idna Idris, Emran Mohd Tamil, Noorzaily Mohamed Noor, Noor Naemah Abdul Rahman
Noor Jamaliah Ibrahim
Each person’s voice is different. Thus, the Quran sound, which had been recited by most of recitors will probably tend to differ a lot from one person to another. Although those Quranic sentence were particularly taken from the same verse, but the way of the sentence in Al-Quran been recited or delivered may be different. It may produce the difference sounds for the different recitors. Those same combinations of letters may be pronounced differently due to the use of harakates. This paper seeks to provide a comprehensive review of Quran Arabic verse recitation recognition focusing on the techniques used, the …
Quranic Verse Recitation Feature Extraction Using Mel-Frequency Cepstral Coefficient (Mfcc), Noor Jamaliah Ibrahim, Zaidi Razak, Emran Mohd Tamil, Mohd Yamani Idna Idris, Zulkifli Mohd Yusoff
Quranic Verse Recitation Feature Extraction Using Mel-Frequency Cepstral Coefficient (Mfcc), Noor Jamaliah Ibrahim, Zaidi Razak, Emran Mohd Tamil, Mohd Yamani Idna Idris, Zulkifli Mohd Yusoff
Noor Jamaliah Ibrahim
Each person’s voice is different. Thus, the Quran sound, which had been recited by most of recitors will probably tend to differ a lot from one person to another. Although those Quranic sentence were particularly taken from the same verse, but the way of the sentence in Al-Quran been recited or delivered may be different. It may produce the difference sounds for the different recitors. Those same combinations of letters may be pronounced differently due to the use of harakates. This paper explores the viability of Mel-Frequency Cepstral Coefficient (MFCC) technique to extract features from Quranic verse recitation. Features extraction …