WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark

A. Nagrani, J. S. Chung, and A. Zisserman, “Voxceleb: A large-scale speaker identification dataset,” in Interspeech 2017, 18th Annual Conference of the International Speech Communication Association, Stockholm, Sweden, August 20-24, 2017 . ISCA, 2017, pp. 2616–2620

2017

Earlier work this paper cites.

J. S. Chung, A. Nagrani, and A. Zisserman, “Voxceleb2: Deep speaker recognition,” in Interspeech 2018, 19th Annual Conference of the International Speech Communication Association, Hyderabad, India, 2-6 September 2018 . ISCA, 2018, pp. 1086–1090

2018

Earlier work this paper cites.

J. Ho, A. Jain, and P. Abbeel, “Denoising diffusion probabilistic models,” in Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual , 2020

2020

Earlier work this paper cites.

J. Kahn, M. Rivière, W. Zheng, E. Kharitonov, Q. Xu, P. Mazaré, J. Karadayi, V. Liptchinsky, R. Collobert, C. Fuegen, T. Likhomanenko, G. Synnaeve, A. Joulin, A. Mohamed, and E. Dupoux, “Libri-light: A benchmark for ASR with limited or no supervision,” in 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020 . IEEE, 2020, pp. 7669–7673

2020

Earlier work this paper cites.

V. Pratap, Q. Xu, A. Sriram, G. Synnaeve, and R. Collobert, “MLS: A large-scale multilingual dataset for speech research,” in Interspeech 2020, 21st Annual Conference of the International Speech Communication Association, Virtual Event, Shanghai, China, 25-29 October 2020 . ISCA, 2020, pp. 2757–2761

2020

Earlier work this paper cites.

T. Guo, C. Wen, D. Jiang, N. Luo, R. Zhang, S. Zhao, W. Li, C. Gong, W. Zou, K. Han et al. , “Didispeech: A large scale mandarin speech corpus,” in ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2021, pp. 6968–6972

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 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021 . IEEE, 2021, pp. 6493–6497

2021

Earlier work this paper cites.

Y. Shi, H. Bu, X. Xu, S. Zhang, and M. Li, “AISHELL-3: A Multi-Speaker Mandarin TTS Corpus,” in Proc. Interspeech 2021 , 2021, pp. 2756–2760

2021

Cited alongside, same era.

B. Zhang, H. Lv, P. Guo, Q. Shao, C. Yang, L. Xie, X. Xu, H. Bu, X. Chen, C. Zeng et al. , “Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition,” in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE, 2022, pp. 6182–6186

2022

Cited alongside, same era.

C. K. A. Reddy, V. Gopal, and R. Cutler, “Dnsmos P.835: A non-intrusive perceptual objective speech quality metric to evaluate noise suppressors,” in IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022 . IEEE, 2022, pp. 886–890

2022

Cited alongside, same era.

C. Wang, S. Chen, Y. Wu, Z. Zhang, L. Zhou, S. Liu, Z. Chen, Y. Liu, H. Wang, J. Li, L. He, S. Zhao, and F. Wei, “Neural codec language models are zero-shot text to speech synthesizers,” CoRR , vol. abs/2301.02111, 2023

H. Wang, C. Liang, S. Wang, Z. Chen, B. Zhang, X. Xiang, Y. Deng, and Y. Qian, “Wespeaker: A research and production oriented speaker embedding learning toolkit,” in IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023 . IEEE, 2023, pp. 1–5

2023

Later among the works it cites.

Y.-C. Wu, I. D. Gebru, D. Marković, and A. Richard, “AudioDec: An open-source streaming high-fidelity neural audio codec,” in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , 2023

2023

Later among the works it cites.

A. Défossez, J. Copet, G. Synnaeve, and Y. Adi, “High fidelity neural audio compression,” Transactions on Machine Learning Research , 2023

2023

Later among the works it cites.

K. Shen, Z. Ju, X. Tan, E. Liu, Y. Leng, L. He, T. Qin, sheng zhao, and J. Bian, “Naturalspeech 2: Latent diffusion models are natural and zero-shot speech and singing synthesizers,” in The Twelfth International Conference on Learning Representations , 2024