Fetching the paper…
Reading the bibliography…
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model that improves similarity for speakers unseen during training.
J. S. Chung, A. Nagrani, and A. Zisserman, “Voxceleb2: Deep speaker recognition,” in Proc. Interspeech 2018 , 2018, pp. 1086–1090. [Online]. Available: http://dx.doi.org/10.21437/Interspeech.2018-1929
1929
Earlier work this paper cites.
F. Ribeiro, D. Florêncio, C. Zhang, and M. Seltzer, “Crowdmos: An approach for crowdsourcing mean opinion score studies,” in Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on . IEEE, 2011, pp. 2416–2419
2011
Earlier work this paper cites.
V. Panayotov, G. Chen, D. Povey, and S. Khudanpur, “Librispeech: an asr corpus based on public domain audio books,” in Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on . IEEE, 2015, pp. 5206–5210
2015
Earlier work this paper cites.
D. P. Kingma, T. Salimans, R. Jozefowicz, X. Chen, I. Sutskever, and M. Welling, “Improved variational inference with inverse autoregressive flow,” in Advances in neural information processing systems , 2016, pp. 4743–4751
2016
Earlier work this paper cites.
2016
Earlier work this paper cites.
C. Veaux, J. Yamagishi, K. MacDonald et al. , “Superseded-cstr vctk corpus: English multi-speaker corpus for cstr voice cloning toolkit,” University of Edinburgh. The Centre for Speech Technology Research (CSTR) , 2016
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
Y. N. Dauphin, A. Fan, M. Auli, and D. Grangier, “Language modeling with gated convolutional networks,” in International conference on machine learning . PMLR, 2017, pp. 933–941
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin, “Attention is all you need,” in Advances in Neural Information Processing Systems , 2017, pp. 5998–6008
2017
Earlier work this paper cites.
K. Ito et al. , “The lj speech dataset,” 2017
2017
Earlier work this paper cites.
S. Arik, J. Chen, K. Peng, W. Ping, and Y. Zhou, “Neural voice cloning with a few samples,” in Advances in Neural Information Processing Systems , 2018, pp. 10 019–10 029
2018
Earlier work this paper cites.
Y. Jia, Y. Zhang, R. Weiss, Q. Wang, J. Shen, F. Ren, P. Nguyen, R. Pang, I. L. Moreno, Y. Wu et al. , “Transfer learning from speaker verification to multispeaker text-to-speech synthesis,” in Advances in neural information processing systems , 2018, pp. 4480–4490
2018
Cited alongside, same era.
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 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2018, pp. 4779–4783
2018
Cited alongside, same era.
L. Wan, Q. Wang, A. Papir, and I. L. Moreno, “Generalized end-to-end loss for speaker verification,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2018, pp. 4879–4883
2018
Cited alongside, same era.
C. Jemine et al. , “Master thesis: Real-time voice cloning,” 2019
2019
Later among the works it cites.
E. Cooper, C.-I. Lai, Y. Yasuda, F. Fang, X. Wang, N. Chen, and J. Yamagishi, “Zero-shot multi-speaker text-to-speech with state-of-the-art neural speaker embeddings,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 6184–6188
2020
Later among the works it cites.
2020
Later among the works it cites.
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…
2018
Cited alongside, same era.
D. Snyder, D. Garcia-Romero, G. Sell, D. Povey, and S. Khudanpur, “X-vectors: Robust dnn embeddings for speaker recognition,” in 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2018, pp. 5329–5333
2018
Cited alongside, same era.
2019
Cited alongside, same era.
Y. Ren, Y. Ruan, X. Tan, T. Qin, S. Zhao, Z. Zhao, and T.-Y. Liu, “Fastspeech: Fast, robust and controllable text to speech,” in Advances in Neural Information Processing Systems , 2019, pp. 3171–3180
2019
Cited alongside, same era.
2019
Cited alongside, same era.
——. (2019) Gradual training with tacotron for faster convergence. [Online]. Available: https://erogol.com/gradual-training-with-tacotron-for-faster-convergence/
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
Mos testing. DefinedCrowd Corp. [Online]. Available: https://www.definedcrowd.com/evaluation-of-experience/
Cited in the paper.
2020
Later among the works it cites.
J. S. Chung, J. Huh, S. Mun, M. Lee, H. S. Heo, S. Choe, C. Ham, S. Jung, B.-J. Lee, and I. Han, “In defence of metric learning for speaker recognition,” in Interspeech , 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.
E. Gölge. (2020) Solving attention problems of tts models with double decoder consistency. [Online]. Available: https://erogol.com/solving-attention-problems-of-tts-models-with-double-decoder-consistency/
2020
Later among the works it cites.
K. Peng, W. Ping, Z. Song, and K. Zhao, “Non-autoregressive neural text-to-speech,” in International Conference on Machine Learning . PMLR, 2020, pp. 7586–7598
2020
Later among the works it cites.