Audio query-based music source separation

Visualizing data using t-sne

Laurens van der Maaten and Geoffrey Hinton · 2008

Earlier work this paper cites.

Auto-encoding variational bayes

Diederik P. Kingma and Max Welling · 2014

Earlier work this paper cites.

Discriminatively trained recurrent neural networks for single-channel speech separation

Felix Weninger, John R Hershey, Jonathan Le Roux, and Björn Schuller · 2014

Earlier work this paper cites.

U-net: Convolutional networks for biomedical image segmentation

Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015

Earlier work this paper cites.

Deep clustering: Discriminative embeddings for segmentation and separation

John R Hershey, Zhuo Chen, Jonathan Le Roux, and Shinji Watanabe · 2016

Earlier work this paper cites.

Stacked hourglass networks for human pose estimation

Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016

Earlier work this paper cites.

Sampling generative networks

Original

Tom White · 2016

Earlier work this paper cites.

Arbitrary style transfer in real-time with adaptive instance normalization

Xun Huang and Serge Belongie · 2017

Earlier work this paper cites.

Singing voice separation with deep u-net convolutional networks

Andreas Jansson, Eric J. Humphrey, Nicola Montecchio, Rachel M. Bittner, Aparna Kumar, and Tillman Weyde · 2017

Cited alongside, same era.

The 2016 signal separation evaluation campaign

Antoine Liutkus, Fabian-Robert Stöter, Zafar Rafii, Daichi Kitamura, Bertrand Rivet, Nobutaka Ito, Nobutaka Ono, and Julie Fontecave · 2017

Cited alongside, same era.

The MUSDB18 corpus for music separation, December 2017

Zafar Rafii, Antoine Liutkus, Fabian-Robert Stöter, Stylianos Ioannis Mimilakis, and Rachel Bittner · 2017

Cited alongside, same era.

Multi-scale multi-band densenets for audio source separation

Naoya Takahashi and Yuki Mitsufuji · 2017

Cited alongside, same era.

Improving music source separation based on deep neural networks through data augmentation and network blending

Stefan Uhlich, Marcello Porcu, Franck Giron, Michael Enenkl, Thomas Kemp, Naoya Takahashi, and Yuki Mitsufuji · 2017

Cited alongside, same era.

Music source separation using stacked hourglass networks

Sungheon Park, Taehoon Kim, Kyogu Lee, and Nojun Kwak · 2018

Later among the works it cites.

Improving single-network single-channel separation of musical audio with convolutional layers

Gerard Roma, Owen Green, and Pierre Alexandre Tremblay · 2018

Later among the works it cites.

Wave-u-net: A multi-scale neural network for end-to-end audio source separation

Daniel Stoller, Sebastian Ewert, and Simon Dixon · 2018

Later among the works it cites.

The 2018 signal separation evaluation campaign

Fabian-Robert Stöter, Antoine Liutkus, and Nobutaka Ito · 2018

Later among the works it cites.

Mmdenselstm: An efficient combination of convolutional and recurrent neural networks for audio source separation

Naoya Takahashi, Nabarun Goswami, and Yuki Mitsufuji · 2018

Later among the works it cites.

Deep extractor network for target speaker recovery from single channel speech mixtures