Modeling Mad Classification in Holy Quran Recitation Using MFCC Extraction Feature and CNN Algorithm
Abstract: This research aims to classify mad recitation in Surah Al-Fatihah using Mel Frequency Cepstral Coefficient (MFCC) feature extraction and Convolutional Neural Network (CNN) algorithm.
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