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Neural network-based methods have recently demonstrated state-of-the-art results on image synthesis and super-resolution tasks, in particular by using variants of generative adversarial networks (GANs) with supervised feature losses.
Distance measures for speech processing
Augustine Gray and John Markel · 1976
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Audio Bandwidth Extension: Application of Psychoacoustics, Signal Processing and Loudspeaker Design
Erik R. Larsen and Ronald M. Aarts · 2004
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ImageNet: A Large-Scale Hierarchical Image Database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Unsupervised feature learning for audio classification using convolutional deep belief networks
Honglak Lee, Peter Pham, Yan Largman, and Andrew Y. Ng · 2009
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Stacked denoising autoencoders: Learning useful representations in a deep network with a local denoising criterion
Pascal Vincent, Hugo Larochelle, Isabelle Lajoie, Yoshua Bengio, and Pierre-Antoine Manzagol · 2010
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Rectifier nonlinearities improve neural network acoustic models
Andrew L. Maas, Awni Y. Hannun, and Andrew Y. Ng · 2013
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Speech synthesis based on hidden markov models
Keiichi Tokuda, Yoshihiko Nankaku, Tomoki Toda, Heiga Zen, Junichi Yamagishi, and Keiichiro Oura · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Suitability of speech quality evaluation measures in speech enhancement
Zhang Jie, Xiaoqun Zhao, Jingyun Xu, and Zhang Yang · 2014
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
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Conditional generative adversarial nets
Mehdi Mirza and Simon Osindero · 2014
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Musical audio synthesis using autoencoding neural nets
Andy M. Sarroff and Michael A. Casey · 2014
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
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Deep generative image models using a laplacian pyramid of adversarial networks
Emily L. Denton, Soumith Chintala, Arthur Szlam, and Rob Fergus · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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A novel method of artificial bandwidth extension using deep architecture
Bin Liu, Jianhua Tao, Zhengqi Wen, Ya Li, and Danish Bukhari · 2015
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Unsupervised representation learning with deep convolutional generative adversarial networks
Alec Radford, Luke Metz, and Soumith Chintala · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Going deeper with convolutions
Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, and Andrew Rabinovich · 2015
Cited alongside, same era.
Soundnet: Learning sound representations from unlabeled video
Yusuf Aytar, Carl Vondrick, and Antonio Torralba · 2016
BEGAN: boundary equilibrium generative adversarial networks
David Berthelot, Tom Schumm, and Luke Metz · 2017
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Neural audio synthesis of musical notes with wavenet autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, and Mohammad Norouzi · 2017
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Image-to-image translation with conditional adversarial networks
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros · 2017
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Audio super resolution using neural networks
Volodymyr Kuleshov, S. Zayd Enam, and Stefano Ermon · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszar, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, and Wenzhe Shi · 2017
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Cited alongside, same era.
Generating images with perceptual similarity metrics based on deep networks
Alexey Dosovitskiy and Thomas Brox · 2016
Cited alongside, same era.
Image style transfer using convolutional neural networks
Leon Gatys, Alexander Ecker, and Matthias Bethge · 2016
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Fei-Fei Li · 2016
Cited alongside, same era.
Deconvolution and checkerboard artifacts
Augustus Odena, Vincent Dumoulin, and Chris Olah · 2016
Cited alongside, same era.
Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network
Wenzhe Shi, Jose Caballero, Ferenc Huszár, Johannes Totz, Andrew P. Aitken, Rob Bishop, Daniel Rueckert, and Zehan Wang · 2016
Cited alongside, same era.
Ladder variational autoencoders
Casper Kaae Sonderby, Tapani Raiko, Lars Maaloe, Soren Kaae Sonderby, and Ole Winther · 2016
Cited alongside, same era.
Later among the works it cites.
Samplernn: An unconditional end-to-end neural audio generation model
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron C. Courville, and Yoshua Bengio · 2017
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Char2Wav: End-to-end speech synthesis
Jose Sotelo, Soroush Mehri, Kundan Kumar, João F. Santos, Kyle Kastner, Aaron Courville, and Yoshua Bengio · 2017
Later among the works it cites.
Artificial speech bandwidth extension using deep neural networks for wideband spectral envelope estimation
Johannes Abel and Tim Fingscheidt · 2018
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Synthesizing audio with generative adversarial networks
Chris Donahue, Julian McAuley, and Miller Puckette · 2018
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Speech denoising with deep feature losses
Francois G. Germain, Qifeng Chen, and Vladlen Koltun · 2018
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Progressive growing of gans for improved quality, stability, and variation
Tero Karras, Timo Aila, Samuli Laine, and Jaakko Lehtinen · 2018
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Detection and classification of acoustic scenes and events: Outcome of the dcase 2016 challenge
Annamaria Mesaros, Toni Heittola, Emmanouil Benetos, Peter Foster, Mathieu Lagrange, Tuomos Virtanen, and Mark D. Plumbley · 2018
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Parallel WaveNet: Fast high-fidelity speech synthesis
Aaron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, and Demis Hassabis · 2018
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