AUDIO SEGMENTATION USING SHORT-TIME ENERGY (STE) FOR MAKHRAJ RECOGNITION IN QUR' AN RECITATION WITH XGBOOST AND CONVOLUTIONAL NEURAL NETWORK (CNNLD) APPROACHES
This study proposes and evaluates an enhanced makhraj recognition system for Quranic recitation by incorporating an audio segmentation stage using the ShortTime Energy (STE) method with XGBoost and Convolutional Neural Network 1 Dimensional (CNNlD) approaches. The focus of this research is the recog...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/85542 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |