Szymon Drgas

Using Recurrences in Time and Frequency within U-net Architecture for Speech Enhancement

When designing fully-convolutional neural network, there is a trade-off between receptive field size, number of parameters and spatial resolution of features in deeper layers of the network. In this work we present a novel network design based on combination of many convolutional and recurrent layer…