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Prior works have demonstrated zero-shot text-to-speech by using a generative language model on audio tokens obtained via a neural audio codec.
2017
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 2018 IEEE international conference on acoustics, speech and signal processing (ICASSP) . IEEE, 2018, pp. 4779–4783
2018
Earlier work this paper cites.
H. Zen, V. Dang, R. A. J. Clark, Y. Zhang, R. J. Weiss, Y. Jia, Z. Chen, and Y. Wu, “Libritts: A corpus derived from librispeech for text-to-speech,” in Interspeech , 2019
2019
Earlier work this paper cites.
J. Kahn, M. Rivière, W. Zheng, E. Kharitonov, Q. Xu, P.-E. Mazaré, J. Karadayi, V. Liptchinsky, R. Collobert, C. Fuegen et al. , “Libri-light: A benchmark for asr with limited or no supervision,” in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2020, pp. 7669–7673
2020
Earlier work this paper cites.
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
Earlier work this paper cites.
B. Desplanques, J. Thienpondt, and K. Demuynck, “ECAPA-TDNN: emphasized channel attention, propagation and aggregation in TDNN based speaker verification,” in Interspeech 2020 . ISCA, 2020, pp. 3830–3834
2020
Earlier work this paper cites.
N. Zeghidour, A. Luebs, A. Omran, J. Skoglund, and M. Tagliasacchi, “Soundstream: An end-to-end neural audio codec,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 30, pp. 495–507, 2021
2021
Earlier work this paper cites.
E. Casanova, C. Shulby, E. Gölge, N. M. Müller, F. S. De Oliveira, A. C. Junior, A. d. S. Soares, S. M. Aluisio, and M. A. Ponti, “Sc-glowtts: An efficient zero-shot multi-speaker text-to-speech model,” pp. 3645–3649, 2021
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
W.-N. Hsu, B. Bolte, Y.-H. H. Tsai, K. Lakhotia, R. Salakhutdinov, and A. Mohamed, “Hubert: Self-supervised speech representation learning by masked prediction of hidden units,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , vol. 29, pp. 3451–3460, 2021
2021
Earlier work this paper cites.
2021
Earlier work this paper cites.
C. K. Reddy, V. Gopal, and R. Cutler, “Dnsmos: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,” in ICASSP 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2021, pp. 6493–6497
2021
Cited alongside, same era.
2022
Cited alongside, same era.
T. Dang, D. Tran, P. Chin, and K. Koishida, “Training robust zero-shot voice conversion models with self-supervised features,” in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2022, pp. 6557–6561
2022
Cited alongside, same era.
2022
Z. Borsos, R. Marinier, D. Vincent, E. Kharitonov, O. Pietquin, M. Sharifi, D. Roblek, O. Teboul, D. Grangier, M. Tagliasacchi et al. , “Audiolm: a language modeling approach to audio generation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
D. Yang, J. Yu, H. Wang, W. Wang, C. Weng, Y. Zou, and D. Yu, “Diffsound: Discrete diffusion model for text-to-sound generation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2023
2023
Later among the works it cites.
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Cited alongside, same era.
E. Casanova, J. Weber, C. D. Shulby, A. C. Junior, E. Gölge, and M. A. Ponti, “Yourtts: Towards zero-shot multi-speaker tts and zero-shot voice conversion for everyone,” in International Conference on Machine Learning . PMLR, 2022, pp. 2709–2720
2022
Cited alongside, same era.
H. Schröter, A. N. Escalante-B., T. Rosenkranz, and A. Maier, “DeepFilterNet: A low complexity speech enhancement framework for full-band audio based on deep filtering,” in ICASSP 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2022
2022
Cited alongside, same era.
C. K. Reddy, V. Gopal, and R. Cutler, “Dnsmos p. 835: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,” in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2022, pp. 886–890
2022
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Later among the works it cites.
E. Kharitonov, D. Vincent, Z. Borsos, R. Marinier, S. Girgin, O. Pietquin, M. Sharifi, M. Tagliasacchi, and N. Zeghidour, “Speak, read and prompt: High-fidelity text-to-speech with minimal supervision,” Transactions of the Association for Computational Linguistics , vol. 11, pp. 1703–1718, 2023
2023
Later among the works it cites.
2023
Later among the works it cites.
X. Jiang, X. Peng, Y. Zhang, and Y. Lu, “Disentangled feature learning for real-time neural speech coding,” in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2023, pp. 1–5
2023
Later among the works it cites.
R. S. Roman, Y. Adi, A. Deleforge, R. Serizel, G. Synnaeve, and A. Defossez, “From discrete tokens to high-fidelity audio using multi-band diffusion,” Advances in neural information processing systems , 2023
2023
Later among the works it cites.
M. Lajszczak, G. C. Ruiz, Y. Li, F. Beyhan, A. van Korlaar, F. Yang, A. Joly, Álvaro Martín Cortinas, A. Abbas, A. Michalski, A. Moinet, S. Karlapati, E. Muszynska, H. Guo, B. Putrycz, S. L. Gambino, K. Yoo, E. Sokolova, and T. Drugman, “Base tts: Lessons from building a billion-parameter text-to-speech model on 100k hours of data,” arXiv , 2024
2024
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