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Electrical Engineering Department, Faculty of Engineering, Aswan University 81542 Aswan, Egypt, Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt, Aswan University
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Sparsity, not β-divergence, is the key to unlocking better audio source separation in reverberant environments.
Surprisingly, high-time low-frequency resolution Gabor atoms, coupled with elastic net regularization, unlock near-perfect classification of heart valvular conditions from sound signals using deep learning.
Ditch the rectangular window: Gaussian windows with optimized length can significantly boost heart sound classification accuracy.