Abstract: The extraction of concise and discriminative features from hyperspectral remote sensing images (HSIs) holds great significance for land cover classification tasks. Nevertheless, the ...
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.
Coders have had a field day weeding through the treasures in the Claude Code leak. "It has turned into a massive sharing party," said Sigrid Jin, who created the Python edition, Claw Code. Here's how ...
Thai speaker identification system using MFCC features with SVM, RF, KNN, GBM classifiers. Trained on podcast audio with 85.12% CV accuracy and Google STT transcription.
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