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Deep neural networks have become an indispensable technique for audio source separation (ASS).
“Performance measurement in blind audio source separation,”
E. Vincent, R. Gribonval, and C. Févotte, · 2006
Earlier work this paper cites.
“Under-determined reverberant audio source separation using a full-rank spatial covariance model,”
N. Q. K. Duong, E. Vincent, and R. Gribonval, · 2010
Earlier work this paper cites.
“Multichannel nonnegative matrix factorization in convolutive mixtures for audio source separation,”
A. Ozerov and C. Févotte, · 2010
Earlier work this paper cites.
“Kernel additive models for source separation,”
A. Liutkus, D. Fitzgerald, Z. Rafii, B. Pardo, and L. Daudet, · 2014
Earlier work this paper cites.
“Cauchy nonnegative matrix factorization,”
A. Liutkus, D. Fitzgerald, and R. Badeau, · 2015
Earlier work this paper cites.
“Deep NMF for speech separation,”
J. LeRoux, J. R. Hershey, and F. Weninger, · 2015
Earlier work this paper cites.
“Scalable audio separation with light kernel additive modelling,”
A. Liutkus, D. Fitzgerald, and Z. Rafii, · 2015
Earlier work this paper cites.
“Multichannel music separation with deep neural networks,”
A. A. Nugraha, A. Liutkus, and E. Vincent, · 2015
Earlier work this paper cites.
“Deep neural network based instrument extraction from music,”
S. Uhlich, F. Giron, and Y. Mitsufuji, · 2015
Earlier work this paper cites.
“Convolutional, long short-term memory, fully connected deep neural networks,”
T. Sainath, O. Vinyals, A. Senior, and H. Sak, · 2015
Cited alongside, same era.
“Convolutional LSTM network: A machine learning approach for precipitation nowcasting,”
X. Shi, Z. Chen, H. Wang, and D. Yeung, · 2015
Cited alongside, same era.
“PROJET - spatial audio separation using projections,”
D. Fitzgerald, A. Liutkus, and Roland Badeau, · 2016
Cited alongside, same era.
“Multichannel blind source separation based on non-negative tensor factorization in wavenumber domain,”
Y. Mitsufuji, S. Koyama, and H. Saruwatari, · 2016
Cited alongside, same era.
“Projection-based demixing of spatial audio,”
D. Fitzgerald, A. Liutkus, and R. Badeau, · 2016
Cited alongside, same era.
“Very deep multilingual convolutional neural networks for LVCSR,”
T. Sercu, C. Puhrsch, B. Kingsbury, and Y. LeCun, · 2016
“Improving music source separation based on deep networks through data augmentation and network blending,”
S. Uhlich, M. Porcu, F. Giron, M. Enenkl, T. Kemp, N. Takahashi, and Y. Mitsufuji, · 2017
Later among the works it cites.
“Aenet: Learning deep audio features for video analysis,”
N. Takahashi, M. Gygli, and L. Van Gool, · 2017
Later among the works it cites.
“Singing voice separation with deep U-Net convolutional Networks,”
A. Jansson, E. Humphrey, N. Montecchio, R. Bittner, A. Kumar, and T. Weyde, · 2017
Later among the works it cites.
“Multi-scale multi-band DenseNets for audio source separation,”
N. Takahashi and Y. Mitsufuji, · 2017
Later among the works it cites.
“The 2016 Signal separation evaluation campaign,”
A. Liutkus, F. Stöter, Z. Rafii, D. Kitamura, B. Rivet, N. Ito, N. Ono, and J. Fontecave, · 2017
Later among the works it cites.
“Densely connected convolutional networks,”
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Cited alongside, same era.
“Deep Convolutional Neural Networks and Data Augmentation for Acoustic Event Detection,”
N. Takahashi, M. Gygli, B. Pfister, and L. Van Gool, · 2016
Cited alongside, same era.
“A fully convolutional deep auditory model for musical chord recognition,”
F. Korzeniowski and G. Widmer, · 2016
Cited alongside, same era.
“Wide residual networks,”
S. Zagoruyko and N. Komodakis, · 2016
Cited alongside, same era.
H.Gao, L. Zhuang, and Q. W. Kilian, · 2017
Later among the works it cites.
“Convolutional Sequence Modeling Revisited,”
V. Koltun. S. Bai, Z. Kolter, · 2018
Closest in time.
“Convolutional-recurrent neural networks for speech enhancement,”
Ivan Tashev Chin-Hui Lee Han Zhao, Shuayb Zarar, · 2018
Closest in time.
“The 2018 signal separation evaluation campaign,”
A. Liutkus, F.-R. Stöter, and N. Ito, · 2018
Closest in time.