RayanAAY-ops/RE-Deep-Recurrent-NMF-for-Speech-Separation-by-Unfolding-Iterative-Thresholding

In this code, we propose a different implementation fo the original paper https://arxiv.org/abs/1709.07124 under PyTorch. This architecture is constructed by unfolding the iterations of a sequential iterative soft-thresholding algorithm (ISTA) that solves the optimization problem for sparse nonnegative matrix factorization (NMF) of spectrograms. We name this network architecture deep recurrent NMF (DR-NMF)

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