4 citations · 4 across the 1 of their papers we have counts for
2 papers
cs.SD2018
Referenceless Performance Evaluation of Audio Source Separation using Deep Neural Networks
Emad M. Grais, Hagen Wierstorf, Dominic Ward +2
Current performance evaluation for audio source separation depends on comparing the processed or separated signals with reference signals. Therefore, common performance evaluation…
cs.SD2017★ 4 cited
Multi-Resolution Fully Convolutional Neural Networks for Monaural Audio Source Separation
Emad M. Grais, Hagen Wierstorf, Dominic Ward +1
In deep neural networks with convolutional layers, each layer typically has fixed-size/single-resolution receptive field (RF). Convolutional layers with a large RF capture global i…