| Fastspeech 2: Fast and high-quality end-to-end text to speech Y Ren, C Hu, X Tan, T Qin, S Zhao, Z Zhao, TY Liu arXiv preprint arXiv:2006.04558, 2020 | 1610 | 2020 |
| Fastspeech: Fast, robust and controllable text to speech Y Ren, Y Ruan, X Tan, T Qin, S Zhao, Z Zhao, TY Liu Advances in neural information processing systems 32, 2019 | 1279 | 2019 |
| Neural speech synthesis with transformer network N Li, S Liu, Y Liu, S Zhao, M Liu Proceedings of the AAAI conference on artificial intelligence 33 (01), 6706-6713, 2019 | 918 | 2019 |
| Neural codec language models are zero-shot text to speech synthesizers C Wang, S Chen, Y Wu, Z Zhang, L Zhou, S Liu, Z Chen, Y Liu, H Wang, ... arXiv preprint arXiv:2301.02111, 2023 | 643 | 2023 |
| Adaspeech: Adaptive text to speech for custom voice M Chen, X Tan, B Li, Y Liu, T Qin, S Zhao, TY Liu arXiv preprint arXiv:2103.00993, 2021 | 229 | 2021 |
| NaturalSpeech: End-to-End Text-to-Speech Synthesis With Human-Level Quality X Tan, J Chen, H Liu, J Cong, C Zhang, Y Liu, X Wang, Y Leng, Y Yi, L He, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (6), 4234-4245, 2024 | 227 | 2024 |
| Naturalspeech 2: Latent diffusion models are natural and zero-shot speech and singing synthesizers K Shen, Z Ju, X Tan, Y Liu, Y Leng, L He, T Qin, S Zhao, J Bian arXiv preprint arXiv:2304.09116, 2023 | 226 | 2023 |
| Speak foreign languages with your own voice: Cross-lingual neural codec language modeling Z Zhang, L Zhou, C Wang, S Chen, Y Wu, S Liu, Z Chen, Y Liu, H Wang, ... arXiv preprint arXiv:2303.03926, 2023 | 164 | 2023 |
| Hyper-structure recurrent neural networks for text-to-speech P Zhao, M Leung, K Yao, B Yan, S Zhao, FA Alleva US Patent 10,127,901, 2018 | 163 | 2018 |
| Naturalspeech 3: Zero-shot speech synthesis with factorized codec and diffusion models Z Ju, Y Wang, K Shen, X Tan, D Xin, D Yang, Y Liu, Y Leng, K Song, ... arXiv preprint arXiv:2403.03100, 2024 | 143 | 2024 |
| Almost unsupervised text to speech and automatic speech recognition Y Ren, X Tan, T Qin, S Zhao, Z Zhao, TY Liu International conference on machine learning, 5410-5419, 2019 | 129 | 2019 |
| Multispeech: Multi-speaker text to speech with transformer M Chen, X Tan, Y Ren, J Xu, H Sun, S Zhao, T Qin, TY Liu arXiv preprint arXiv:2006.04664, 2020 | 125 | 2020 |
| Close to human quality TTS with transformer N Li, S Liu, Y Liu, S Zhao, M Liu, M Zhou arXiv preprint arXiv:1809.08895 2, 2018 | 122 | 2018 |
| Developing RNN-T models surpassing high-performance hybrid models with customization capability J Li, R Zhao, Z Meng, Y Liu, W Wei, S Parthasarathy, V Mazalov, Z Wang, ... arXiv preprint arXiv:2007.15188, 2020 | 118 | 2020 |
| MBNet: MOS prediction for synthesized speech with mean-bias network Y Leng, X Tan, S Zhao, F Soong, XY Li, T Qin ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 110 | 2021 |
| Uniaudio: An audio foundation model toward universal audio generation D Yang, J Tian, X Tan, R Huang, S Liu, X Chang, J Shi, S Zhao, J Bian, ... arXiv preprint arXiv:2310.00704, 2023 | 108 | 2023 |
| Prompttts: Controllable text-to-speech with text descriptions Z Guo, Y Leng, Y Wu, S Zhao, X Tan ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 102 | 2023 |
| Lrspeech: Extremely low-resource speech synthesis and recognition J Xu, X Tan, Y Ren, T Qin, J Li, S Zhao, TY Liu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 101 | 2020 |
| Dilated residual network with multi-head self-attention for speech emotion recognition R Li, Z Wu, J Jia, S Zhao, H Meng ICASSP 2019-2019 IEEE international conference on acoustics, speech and …, 2019 | 94 | 2019 |
| Token-level ensemble distillation for grapheme-to-phoneme conversion H Sun, X Tan, JW Gan, H Liu, S Zhao, T Qin, TY Liu arXiv preprint arXiv:1904.03446, 2019 | 81 | 2019 |