63 citations · 364 across the 60 of their papers we have counts for
3 papers · 1 filter
Improving DNN-based Music Source Separation using Phase Features
Joachim Muth, Stefan Uhlich, Nathanael Perraudin +3
Music source separation with deep neural networks typically relies only on amplitude features. In this paper we show that additional phase features can improve the separation perfo…
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji
Deep neural networks have become an indispensable technique for audio source separation (ASS). It was recently reported that a variant of CNN architecture called MMDenseNet was suc…
Mode Domain Spatial Active Noise Control Using Sparse Signal Representation
Yu Maeno, Yuki Mitsufuji, Thushara D. Abhayapala
Active noise control (ANC) over a sizeable space requires a large number of reference and error microphones to satisfy the spatial Nyquist sampling criterion, which limits the feas…