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Deep Recurrent NMF for Speech Separation by Unfolding Iterative
  Thresholding

Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding

21 September 2017
Scott Wisdom
Thomas Powers
J. Pitton
L. Atlas
ArXiv (abs)PDFHTML

Papers citing "Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding"

6 / 6 papers shown
Title
Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery
Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery
Scott Wisdom
Thomas Powers
J. Pitton
L. Atlas
68
36
0
22 Nov 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
201
2,340
0
09 May 2016
Learning optimal nonlinearities for iterative thresholding algorithms
Learning optimal nonlinearities for iterative thresholding algorithms
Ulugbek S. Kamilov
Hassan Mansour
56
109
0
15 Dec 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures
J. Hershey
Jonathan Le Roux
F. Weninger
BDL
118
432
0
09 Sep 2014
Discriminative Recurrent Sparse Auto-Encoders
Discriminative Recurrent Sparse Auto-Encoders
J. Rolfe
Yann LeCun
BDL
71
73
0
16 Jan 2013
1