Abstract: In present scenario, speaker identification under different types of noise conditions is the most challenging task in the area of speech processing. Due to adverse effect of noise on 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 ...
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