Fetching the paper…
Reading the bibliography…
This paper introduces WaveGrad 2, a non-autoregressive generative model for text-to-speech synthesis.
A. Hyvärinen and P. Dayan, “Estimation of non-normalized statistical models by score matching,” JMLR , vol. 6, no. 4, 2005
2005
Earlier work this paper cites.
P. Vincent, “A connection between score matching and denoising autoencoders,” Neural Computation , vol. 23, no. 7, pp. 1661–1674, 2011
2011
Earlier work this paper cites.
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, “Dropout: a simple way to prevent neural networks from overfitting,” JMLR , vol. 15, no. 1, pp. 1929–1958, 2014
2014
Earlier work this paper cites.
J. Sohl-Dickstein, E. Weiss, N. Maheswaranathan, and S. Ganguli, “Deep unsupervised learning using nonequilibrium thermodynamics,” in International Conference on Machine Learning , 2015
2015
Earlier work this paper cites.
S. Ioffe and C. Szegedy, “Batch normalization: Accelerating deep network training by reducing internal covariate shift,” in Proc. ICML , 2015, pp. 448–456
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
J. Sotelo, S. Mehri, K. Kumar, J. F. Santos, K. Kastner, A. C. Courville, and Y. Bengio, “Char2Wav: End-to-end speech synthesis,” in Proc. ICLR , 2017
2017
Earlier work this paper cites.
Y. Wang, R. Skerry-Ryan, D. Stanton, Y. Wu, R. J. Weiss, N. Jaitly, Z. Yang, Y. Xiao, Z. Chen, S. Bengio, Q. Le, Y. Agiomyrgiannakis, R. Clark, and R. A. Saurous, “Tacotron: Towards end-to-end speech synthesis,” in Proc. Interspeech , 2017, pp. 4006–4010
2017
Earlier work this paper cites.
T. Salimans, A. Karpathy, X. Chen, and D. P. Kingma, “PixelCNN++: Improving the PixelCNN with discretized logistic mixture likelihood and other modifications,” in Proc. ICLR , 2017
2017
Earlier work this paper cites.
A. van den Oord, Y. Li, I. Babuschkin, K. Simonyan, O. Vinyals, K. Kavukcuoglu, G. Driessche, E. Lockhart, L. Cobo, F. Stimberg et al. , “Parallel WaveNet: Fast high-fidelity speech synthesis,” in Proc. ICML , 2018, pp. 3918–3926
2018
Earlier work this paper cites.
J. Shen, R. Pang, R. J. Weiss, M. Schuster, N. Jaitly, Z. Yang, Z. Chen, Y. Zhang, Y. Wang, R. Skerrv-Ryan et al. , “Natural TTS synthesis by conditioning WaveNet on mel spectrogram predictions,” in Proc. ICASSP , 2018, pp. 4779–4783
2018
Earlier work this paper cites.
W. Ping, K. Peng, and J. Chen, “ClariNet: Parallel wave generation in end-to-end text-to-speech,” in Proc. ICLR , 2018
2018
Cited alongside, same era.
C. Donahue, J. McAuley, and M. Puckette, “Adversarial audio synthesis,” in Proc. ICLR , 2018
2018
Cited alongside, same era.
J. Engel, K. K. Agrawal, S. Chen, I. Gulrajani, C. Donahue, and A. Roberts, “GANSynth: Adversarial neural audio synthesis,” in Proc. ICLR , 2018
2018
Cited alongside, same era.
V. Dumoulin, E. Perez, N. Schucher, F. Strub, H. d. Vries, A. Courville, and Y. Bengio, “Feature-wise transformations,” Distill , 2018, https://distill.pub/2018/feature-wise-transformations
2018
Cited alongside, same era.
N. Li, S. Liu, Y. Liu, S. Zhao, and M. Liu, “Neural Speech Synthesis with Transformer Network,” in Proc. AAAI , vol. 33, 2019, pp. 6706–6713
2019
Cited alongside, same era.
2020
Later among the works it cites.
N.-Q. Wu and Z.-H. Ling, “WaveFFJORD: FFJORD-based vocoder for statistical parametric speech synthesis,” in Proc. ICASSP , 2020, pp. 7214–7218
2020
Later among the works it cites.
2020
Later among the works it cites.
R. Yamamoto, E. Song, and J.-M. Kim, “Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram,” in Proc. ICASSP , 2020, pp. 6199–6203
2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2019
Cited alongside, same era.
R. Prenger, R. Valle, and B. Catanzaro, “WaveGlow: A flow-based generative network for speech synthesis,” in Proc. ICASSP , 2019, pp. 3617–3621
2019
Cited alongside, same era.
S. Kim, S.-G. Lee, J. Song, J. Kim, and S. Yoon, “FloWaveNet: A generative flow for raw audio,” in Proc. ICML , 2019, pp. 3370–3378
2019
Cited alongside, same era.
K. Kumar, R. Kumar, T. de Boissiere, L. Gestin, W. Zhen Teoh, J. Sotelo, A. de Brebisson, Y. Bengio, and A. Courville, “MelGAN: Generative adversarial networks for conditional waveform synthesis,” Proc. NeurIPS , 2019
2019
Cited alongside, same era.
D. S. Park, W. Chan, Y. Zhang, C.-C. Chiu, B. Zoph, E. D. Cubuk, and Q. V. Le, “SpecAugment: A simple data augmentation method for automatic speech recognition,” in Proc. Interspeech , 2019, pp. 2613–2617
2019
Cited alongside, same era.
2020
Cited alongside, same era.
2020
Cited alongside, same era.
M. Bińkowski, J. Donahue, S. Dieleman, A. Clark, E. Elsen, N. Casagrande, L. C. Cobo, and K. Simonyan, “High fidelity speech synthesis with adversarial networks,” in Proc. ICLR , 2020
2020
Later among the works it cites.
J. Yang, J. Lee, Y. Kim, H.-Y. Cho, and I. Kim, “VocGAN: A high-fidelity real-time vocoder with a hierarchically-nested adversarial network,” Proc. Interspeech , pp. 200–204, 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
N. Chen, Y. Zhang, H. Zen, R. J. Weiss, M. Norouzi, and W. Chan, “WaveGrad: Estimating gradients for waveform generation,” in Proc. ICLR , 2021
2021
Closest in time.