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Recent advances in neural text-to-speech research have been dominated by two-stage pipelines utilizing low-level intermediate speech representation such as mel-spectrograms.
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: An asr corpus based on public domain audio books,” in 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2015, pp. 5206–5210
2015
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G. J. Mysore, “Can we automatically transform speech recorded on common consumer devices in real-world environments into professional production quality speech?—a dataset, insights, and challenges,” IEEE Signal Processing Letters , vol. 22, no. 8, pp. 1006–1010, 2015
2015
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2016
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J. Sotelo, S. Mehri, K. Kumar, J. F. Santos, K. Kastner, A. C. Courville, and Y. Bengio, “Char2wav: End-to-end speech synthesis,” in ICLR (Workshop) , 2017
2017
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K. J. Woods, M. H. Siegel, J. Traer, and J. H. McDermott, “Headphone screening to facilitate web-based auditory experiments,” Attention, Perception, & Psychophysics , vol. 79, no. 7, pp. 2064–2072, 2017
2017
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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, “Natural tts synthesis by conditioning wavenet on mel spectrogram predictions,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2018, pp. 4779–4783
2018
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W. Ping, K. Peng, A. Gibiansky, S. O. Arik, A. Kannan, S. Narang, J. Raiman, and J. Miller, “Deep voice 3: 2000-speaker neural text-to-speech,” in International Conference on Learning Representations , 2018
2018
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A. 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 International conference on machine learning . PMLR, 2018, pp. 3918–3926
2018
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C. Donahue, J. McAuley, and M. Puckette, “Adversarial audio synthesis,” in International Conference on Learning Representations , 2018
2018
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2018
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N. Li, S. Liu, Y. Liu, S. Zhao, and M. Liu, “Neural speech synthesis with transformer network,” in Proceedings of the AAAI Conference on Artificial Intelligence , vol. 33, no. 01, 2019, pp. 6706–6713
2019
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Y. Ren, Y. Ruan, X. Tan, T. Qin, S. Zhao, Z. Zhao, and T.-Y. Liu, “Fastspeech: Fast, robust and controllable text to speech,” Advances in Neural Information Processing Systems , vol. 32, 2019
2019
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R. Prenger, R. Valle, and B. Catanzaro, “Waveglow: A flow-based generative network for speech synthesis,” in ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2019, pp. 3617–3621
2019
Cited alongside, same era.
K. Kumar, R. Kumar, T. de Boissiere, L. Gestin, W. Z. Teoh, J. Sotelo, A. de Brébisson, Y. Bengio, and A. C. Courville, “Melgan: Generative adversarial networks for conditional waveform synthesis,” Advances in neural information processing systems , vol. 32, 2019
2019
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 International Conference on Learning Representations , 2019
2019
Cited alongside, same era.
2020
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R. Ardila, M. Branson, K. Davis, M. Kohler, J. Meyer, M. Henretty, R. Morais, L. Saunders, F. M. Tyers, and G. Weber, “Common voice: A massively-multilingual speech corpus,” in LREC , 2020, pp. 4218–4222
2020
Later among the works it cites.
Q. Kong, Y. Cao, T. Iqbal, Y. Wang, W. Wang, and M. D. Plumbley, “Panns: Large-scale pretrained audio neural networks for audio pattern recognition,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 28, pp. 2880–2894, 2020
2020
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2021
Later among the works it cites.
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2019
Cited alongside, same era.
J. Yamagishi, C. Veaux, K. MacDonald et al. , “Cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit (version 0.92),” 2019
2019
Cited alongside, same era.
J. Kim, S. Kim, J. Kong, and S. Yoon, “Glow-tts: A generative flow for text-to-speech via monotonic alignment search,” Advances in Neural Information Processing Systems , vol. 33, pp. 8067–8077, 2020
2020
Cited alongside, same era.
J. Kong, J. Kim, and J. Bae, “Hifi-gan: Generative adversarial networks for efficient and high fidelity speech synthesis,” Advances in Neural Information Processing Systems , vol. 33, pp. 17 022–17 033, 2020
2020
Cited alongside, same era.
N. Chen, Y. Zhang, H. Zen, R. J. Weiss, M. Norouzi, and W. Chan, “Wavegrad: Estimating gradients for waveform generation,” in International Conference on Learning Representations , 2020
2020
Cited alongside, same era.
Y. Ren, C. Hu, X. Tan, T. Qin, S. Zhao, Z. Zhao, and T.-Y. Liu, “Fastspeech 2: Fast and high-quality end-to-end text to speech,” in International Conference on Learning Representations , 2020
2020
Cited alongside, same era.
J. Donahue, S. Dieleman, M. Binkowski, E. Elsen, and K. Simonyan, “End-to-end adversarial text-to-speech,” in International Conference on Learning Representations , 2020
2020
Cited alongside, same era.
A. Baevski, Y. Zhou, A. Mohamed, and M. Auli, “wav2vec 2.0: A framework for self-supervised learning of speech representations,” Advances in Neural Information Processing Systems , vol. 33, pp. 12 449–12 460, 2020
2020
Cited alongside, same era.
A. Łańcucki, “Fastpitch: Parallel text-to-speech with pitch prediction,” in ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2021, pp. 6588–6592
2021
Later among the works it cites.
R. J. Weiss, R. Skerry-Ryan, E. Battenberg, S. Mariooryad, and D. P. Kingma, “Wave-tacotron: Spectrogram-free end-to-end text-to-speech synthesis,” in ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2021, pp. 5679–5683
2021
Later among the works it cites.
J. Kim, J. Kong, and J. Son, “Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech,” in International Conference on Machine Learning . PMLR, 2021, pp. 5530–5540
2021
Later among the works it cites.
A. Polyak, Y. Adi, J. Copet, E. Kharitonov, K. Lakhotia, W.-N. Hsu, A. Mohamed, and E. Dupoux, “Speech Resynthesis from Discrete Disentangled Self-Supervised Representations,” in Proc. Interspeech 2021 , 2021, pp. 3615–3619
2021
Later among the works it cites.
K. Lakhotia, E. Kharitonov, W.-N. Hsu, Y. Adi, A. Polyak, B. Bolte, T.-A. Nguyen, J. Copet, A. Baevski, A. Mohamed, and E. Dupoux, “On Generative Spoken Language Modeling from Raw Audio,” Transactions of the Association for Computational Linguistics , vol. 9, pp. 1336–1354, 12 2021
2021
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K. J. Shih, R. Valle, R. Badlani, A. Lancucki, W. Ping, and B. Catanzaro, “RAD-TTS: Parallel flow-based TTS with robust alignment learning and diverse synthesis,” in ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models , 2021
2021
Later among the works it cites.