| TTS synthesis with bidirectional LSTM based recurrent neural networks Y Fan, Y Qian, FL Xie, FK Soong Fifteenth annual conference of the international speech communication …, 2014 | 605 | 2014 |
| A KL divergence and DNN-based approach to voice conversion without parallel training sentences. FL Xie, FK Soong, H Li Interspeech, 287-291, 2016 | 84 | 2016 |
| Sequence Error (SE) Minimization Training of Neural Network for Voice Conversion HL Feng-Long Xie, Yao Qian, Frank K. Soong INTERSPEECH, 2014 | 52 | 2014 |
| A KL divergence and DNN approach to cross-lingual TTS FL Xie, FK Soong, H Li 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 28 | 2016 |
| Improving end-to-end speech synthesis with local recurrent neural network enhanced transformer Y Zheng, X Li, F Xie, L Lu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 23 | 2020 |
| Pitch transformation in neural network based voice conversion FL Xie, Y Qian, FK Soong, H Li The 9th International Symposium on Chinese Spoken Language Processing, 197-200, 2014 | 10 | 2014 |
| Voice conversion with SI-DNN and KL divergence based mapping without parallel training data FL Xie, FK Soong, H Li Speech Communication 106, 57-67, 2019 | 8 | 2019 |
| A multi-stage multi-codebook VQ-VAE approach to high-performance neural TTS H Guo, F Xie, FK Soong, X Wu, H Meng arXiv preprint arXiv:2209.10887, 2022 | 7 | 2022 |
| MSMC-TTS: Multi-stage multi-codebook VQ-VAE based neural TTS H Guo, F Xie, X Wu, FK Soong, H MengFellow IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 6 | 2023 |
| Triple M: A Practical Text-to-speech Synthesis System With Multi-guidance Attention And Multi-band Multi-time LPCNet S Lin, F Xie, L Meng, X Li, L Lu arXiv preprint arXiv:2102.00247, 2021 | 5 | 2021 |
| A new high quality trajectory tiling based hybrid TTS in real time FL Xie, XH Li, WC Su, L Lu, FK Soong ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| Nana-HDR: A non-attentive non-autoregressive hybrid model for TTS S Lin, W Su, L Meng, F Xie, X Li, L Lu arXiv preprint arXiv:2109.13673, 2021 | 2 | 2021 |
| An Improved Frame-Unit-Selection Based Voice Conversion System Without Parallel Training Data FL Xie, XH Li, B Liu, YB Zheng, L Meng, L Lu, FK Soong ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 2 | 2020 |
| Cross Validation and Minimum Generation Error for improved model clustering in HMM-based TTS FKS Feng-Long Xie, Yi-Jian Wu ISCSLP, 2012 | 2* | 2012 |
| QS-TTS: towards semi-supervised text-to-speech synthesis via vector-quantized self-supervised speech representation learning H Guo, F Xie, J Kang, Y Xiao, X Wu, H Meng arXiv preprint arXiv:2309.00126, 2023 | 1 | 2023 |
| Towards High-Quality Neural TTS for Low-Resource Languages by Learning Compact Speech Representations H Guo, F Xie, X Wu, H Lu, H Meng arXiv preprint arXiv:2210.15131, 2022 | 1 | 2022 |
| Tri-stage training with language-specific encoder and bilingual acoustic learner for code-switching speech recognition X Wang, Y Jin, F Xie, Y Long Applied Acoustics 218, 109883, 2024 | | 2024 |
| Frame Selection in SI-DNN Phonetic Space with WaveNet Vocoder for Voice Conversion without Parallel Training Data FL Xie, FK Soong, X Wang, L He, L Haifeng 2018 11th International Symposium on Chinese Spoken Language Processing …, 2018 | | 2018 |
| FireRedTTS: The Xiaohongshu Speech Synthesis System for Blizzard Challenge 2023 K Xie, YC Wu, FL Xie Proc. 18th Blizzard Challenge Workshop, 87-92, 0 | | |
Yao QianMicrosoftVerified email at microsoft.com
