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In this paper, we propose NU-GAN, a new method for resampling audio from lower to higher sampling rates (upsampling).
“Xviii.—on the functions which are represented by the expansions of the interpolation-theory,”
Edmund Taylor Whittaker, · 1915
Earlier work this paper cites.
“Bandwidth expansion of narrowband speech using non-negative matrix factorization,”
Dhananjay Bansal, Bhiksha Raj, and Paris Smaragdis, · 2005
Earlier work this paper cites.
“Generative adversarial nets,”
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio, · 2014
Earlier work this paper cites.
“Variational inference with normalizing flows,”
Danilo Jimenez Rezende and Shakir Mohamed, · 2015
Earlier work this paper cites.
“Audio super-resolution using concatenative resynthesis,”
Michael I Mandel and Young Suk Cho, · 2015
Earlier work this paper cites.
“A deep neural network approach to speech bandwidth expansion,”
Kehuang Li and Chin-Hui Lee, · 2015
Earlier work this paper cites.
“Wavenet: A generative model for raw audio.,”
Aäron Van Den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew W Senior, and Koray Kavukcuoglu, · 2016
Earlier work this paper cites.
“Samplernn: An unconditional end-to-end neural audio generation model,”
Soroush Mehri, Kundan Kumar, Ishaan Gulrajani, Rithesh Kumar, Shubham Jain, Jose Sotelo, Aaron Courville, and Yoshua Bengio, · 2016
Cited alongside, same era.
“Tacotron: Towards end-to-end speech synthesis,”
Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, et al., · 2017
Cited alongside, same era.
“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 C Cobo, Florian Stimberg, et al., · 2017
Cited alongside, same era.
“Aggregated residual transformations for deep neural networks,”
Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He, · 2017
Cited alongside, same era.
“Clarinet: Parallel wave generation in end-to-end text-to-speech,”
Wei Ping, Kainan Peng, and Jitong Chen, · 2018
Later among the works it cites.
“Spectral normalization for generative adversarial networks,”
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida, · 2018
Later among the works it cites.
“Time-frequency networks for audio super-resolution,”
Teck Yian Lim, Raymond A Yeh, Yijia Xu, Minh N Do, and Mark Hasegawa-Johnson, · 2018
Later among the works it cites.
“Waveglow: A flow-based generative network for speech synthesis,”
Ryan Prenger, Rafael Valle, and Bryan Catanzaro, · 2019
Later among the works it cites.
“Melgan: Generative adversarial networks for conditional waveform synthesis,”
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brébisson, Yoshua Bengio, and Aaron C Courville, · 2019
Later among the works it cites.
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Jae Hyun Lim and Jong Chul Ye, · 2017
Cited alongside, same era.
“Audio super resolution using neural networks,”
Volodymyr Kuleshov, S Zayd Enam, and Stefano Ermon, · 2017
Cited alongside, same era.
“Image-to-image translation with conditional adversarial networks,”
Phillip Isola, Jun-Yan Zhu, Tinghui Zhou, and Alexei A Efros, · 2017
Cited alongside, same era.
“Gansynth: Adversarial neural audio synthesis,”
Jesse Engel, Kumar Krishna Agrawal, Shuo Chen, Ishaan Gulrajani, Chris Donahue, and Adam Roberts, · 2019
Later among the works it cites.
“Parallel wavegan: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram,”
Ryuichi Yamamoto, Eunwoo Song, and Jae-Min Kim, · 2020
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