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Deep learning models are mostly used in an offline inference fashion.
Convolutional networks for images, speech, and time-series
Yann Lecun and Yoshua Bengio · 1995
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Auto-encoding variational bayes
Diederik P. Kingma and Max Welling · 2014
Earlier work this paper cites.
Generative Adversarial Networks
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Deep Residual Learning for Image Recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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RNNoise , 2017
Jean-Marc Valin · 2017
Earlier work this paper cites.
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller, Sebastian Ewert, and Simon Dixon · 2018
Cited alongside, same era.
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
Wei Ping, Kainan Peng, and Jitong Chen · 2018
Cited alongside, same era.
SING: Symbol-to-Instrument Neural Generator
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, and Francis Bach · 2018
Cited alongside, same era.
TimbreTron: A WaveNet(CycleGAN(CQT(Audio))) Pipeline for Musical Timbre Transfer
Sicong Huang, Qiyang Li, Cem Anil, Xuchan Bao, Sageev Oore, and Roger B. Grosse · 2018
Cited alongside, same era.
DDSP: Differentiable Digital Signal Processing
Jesse Engel, Lamtharn Hantrakul, Chenjie Gu, and Adam Roberts · 2019
Cited alongside, same era.
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis
Kundan Kumar, Rithesh Kumar, Thibault de Boissiere, Lucas Gestin, Wei Zhen Teoh, Jose Sotelo, Alexandre de Brebisson, Yoshua Bengio, and Aaron Courville · 2019
Later among the works it cites.
Jukebox: A Generative Model for Music
Prafulla Dhariwal, Heewoo Jun, Christine Payne, Jong Wook Kim, Alec Radford, and Ilya Sutskever · 2020
Later among the works it cites.
Streaming keyword spotting on mobile devices
Oleg Rybakov, Natasha Kononenko, Niranjan Subrahmanya, Mirko Visontai, and Stella Laurenzo · 2020
Later among the works it cites.
RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
Antoine Caillon and Philippe Esling · 2021
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SoundStream: An End-to-End Neural Audio Codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi · 2021
Later among the works it cites.
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