Double Sparsity: Towards Blind Estimation of Multiple Channels

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Learnable filter-banks for CNN-based audio applications

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We investigate the design of a convolutional layer where kernels are parameterized functions. This layer aims at being the input layer of convolutional neural networks for audio applications or applications involving time-series. The kernels are defined as ...

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