DMEL: THE DIFFERENTIABLE LOG-MEL SPECTROGRAM AS A TRAINABLE LAYER IN NEURAL NETWORKS
In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the neural network. DMEL is used as the input layer in different neural networks and evaluated on standard audio datasets. We show that DMEL achieves a higher average test accuracy for sub-optimal initial choices of th