Toward end-to-end interpretable convolutional neural networks for waveform signals

Linh Vu, Thu Tran, Wern-Han Lim +1

This paper introduces a novel convolutional neural networks (CNN) framework tailored for end-to-end audio deep learning models, presenting advancements in efficiency and explainabi…