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Implicit neural representations (INRs) are a rapidly growing research field, which provides alternative ways to represent multimedia signals.
Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs
Antony W Rix, John G Beerends, Michael P Hollier, and Andries P Hekstra · 2001
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A short-time objective intelligibility measure for time-frequency weighted noisy speech
Cees H Taal, Richard C Hendriks, Richard Heusdens, and Jesper Jensen · 2010
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Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert, Thomas Unterthiner, and Sepp Hochreiter · 2015
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Fast R-CNN
Ross Girshick · 2015
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David Ha, Andrew Dai, and Quoc V Le · 2016
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WaveNet: A Generative Model for Raw Audio
Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu · 2016
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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
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Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders
Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Mohammad Norouzi, Douglas Eck, and Karen Simonyan · 2017
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Decoupled Weight Decay Regularization
Ilya Loshchilov and Frank Hutter · 2017
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Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George Driessche, Edward Lockhart, Luis Cobo, Florian Stimberg, et al · 2018
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SING: Symbol-to-Instrument Neural Generator
Alexandre Défossez, Neil Zeghidour, Nicolas Usunier, Léon Bottou, and Francis Bach · 2018
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TasNet: time-domain audio separation network for real-time, single-channel speech separation
Yi Luo and Nima Mesgarani · 2018
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Hypernetwork functional image representation
Sylwester Klocek, Łukasz Maziarka, Maciej Wołczyk, Jacek Tabor, Jakub Nowak, and Marek Śmieja · 2019
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Continual learning with hypernetworks
Johannes Von Oswald, Christian Henning, João Sacramento, and Benjamin F Grewe · 2019
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Meta-Learning via Hypernetworks
Dominic Zhao, Johannes von Oswald, Seijin Kobayashi, João Sacramento, and Benjamin F Grewe · 2020
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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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Modulated Periodic Activations for Generalizable Local Functional Representations
Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, and Manmohan Chandraker · 2021
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NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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RAVE: A variational autoencoder for fast and high-quality neural audio synthesis
Antoine Caillon and Philippe Esling · 2021
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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
Cited alongside, same era.
Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien Martel, Alexander Bergman, David Lindell, and Gordon Wetzstein · 2020
Cited alongside, same era.
Hypernetwork approach to generating point clouds
Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zięba, and Tomasz Trzciński · 2020
Cited alongside, same era.
SoundStream: An End-to-End Neural Audio Codec
Neil Zeghidour, Alejandro Luebs, Ahmed Omran, Jan Skoglund, and Marco Tagliasacchi · 2021
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CDPAM: Contrastive learning for perceptual audio similarity
Pranay Manocha, Zeyu Jin, Richard Zhang, and Adam Finkelstein · 2021
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Neural Vocoder is All You Need for Speech Super-resolution
Haohe Liu, Woosung Choi, Xubo Liu, Qiuqiang Kong, Qiao Tian, and DeLiang Wang · 2022
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