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Electrical and Computer Engineering

Selected Works

2008

Speech Recognition

Articles 1 - 3 of 3

Full-Text Articles in Engineering

Quranic Verse Recitation Recognition Module For Educational Programme, Noor Jamaliah Ibrahim, Zulkifli Mohd Yusoff, Zaidi Razak Nov 2008

Quranic Verse Recitation Recognition Module For Educational Programme, Noor Jamaliah Ibrahim, Zulkifli Mohd Yusoff, Zaidi Razak

Noor Jamaliah Ibrahim

In the process of learning al-Quran, reciters are required to learn al-Quran through the manual method of Quran reading skills of talaqqi and musyafahah method. These methods are described as face to face learning process between students and teachers (Mudarris), where listening, correction of al-Quran recitation and repetition of the correct al-Quran recitation takes place. The reason behind this method is to allow Mudarris to check the Tajweed rules of the Quran recitation in real time. However, the current methods of Quran recitation are believed become unattractive and less effective to be implemented, especially for j-QAF students. Focus on j-QAF …


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 Aug 2008

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 Mar 2008

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 …