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Nowadays more and more applications can benefit from edge-based text-to-speech (TTS).
“Straight, exploitation of the other aspect of vocoder: Perceptually isomorphic decomposition of speech sounds,”
Hideki Kawahara, · 2006
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.
“Adam: A method for stochastic optimization,”
Diederik P Kingma and Jimmy Ba, · 2014
Earlier work this paper cites.
“Batch normalization: Accelerating deep network training by reducing internal covariate shift,”
Sergey Ioffe and Christian Szegedy, · 2015
Earlier work this paper cites.
“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
Earlier work this paper cites.
“World: a vocoder-based high-quality speech synthesis system for real-time applications,”
Masanori Morise, Fumiya Yokomori, and Kenji Ozawa, · 2016
Earlier work this paper cites.
“Weight normalization: A simple reparameterization to accelerate training of deep neural networks,”
Tim Salimans and Durk P Kingma, · 2016
Earlier work this paper cites.
“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.
“Efficient neural audio synthesis,”
Nal Kalchbrenner, Erich Elsen, Karen Simonyan, Seb Noury, Norman Casagrande, Edward Lockhart, Florian Stimberg, Aaron van den Oord, Sander Dieleman, and Koray Kavukcuoglu, · 2018
Cited alongside, same era.
“Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,”
J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerrv-Ryan, R. A. Saurous, Y. Agiomvrgiannakis, and Y. Wu, · 2018
Cited alongside, same era.
“Glow: Generative flow with invertible 1x1 convolutions,”
Durk P Kingma and Prafulla Dhariwal, · 2018
Cited alongside, same era.
“Mobilenetv2: Inverted residuals and linear bottlenecks,”
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen, · 2018
“Fastspeech: Fast, robust and controllable text to speech,”
Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu, · 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.
“Fbnet: Hardware-aware efficient convnet design via differentiable neural architecture search,”
Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, and Kurt Keutzer, · 2019
Later among the works it cites.
“Squeezewave: Extremely lightweight vocoders for on-device speech synthesis,”
Bohan Zhai, Tianren Gao, Flora Xue, Daniel Rothchild, Bichen Wu, Joseph E Gonzalez, and Kurt Keutzer, · 2020
Closest in time.
“Multi-band melgan: Faster waveform generation for high-quality text-to-speech,”
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Cited alongside, same era.
“Waveglow: A flow-based generative network for speech synthesis,”
Ryan Prenger, Rafael Valle, and Bryan Catanzaro, · 2019
Cited alongside, same era.
“Neural speech synthesis with transformer network,”
Naihan Li, Shujie Liu, Yanqing Liu, Sheng Zhao, and Ming Liu, · 2019
Cited alongside, same era.
Geng Yang, Shan Yang, Kai Liu, Peng Fang, Wei Chen, and Lei Xie, · 2020
Closest in time.
“Interactive text-to-speech via semi-supervised style transfer learning,”
Yang Gao, Weiyi Zheng, Zhaojun Yang, Thilo Kohler, Christian Fuegen, and Qing He, · 2020
Closest in time.