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Employing Real Training Data for Deep Noise Suppression
It provides a reference-free perceptual loss for employing real data during DNS training, maximizing the PESQ scores.
EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement
By applying a number of topological changes at once, we propose both an efficient FCRN (FCRN15), and a new family of efficient convolutional recurrent neural networks (EffCRN23, EffCRN23lite).
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