Densely Connected Neural Network With Dilated Convolutions For Real-Time Speech Enhancement In The Time Domain

In this work, we propose a fully convolutional neural network for real-time speech enhancement in the time domain. The proposed network is an encoder-decoder based architecture with skip connections. The layers in the encoder and the decoder are followed
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