| Seen and unseen emotional style transfer for voice conversion with a new emotional speech dataset K Zhou, B Sisman, R Liu, H Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 242 | 2021 |
| Emotional voice conversion: Theory, databases and ESD K Zhou, B Sisman, R Liu, H Li Speech Communication 137, 1-18, 2022 | 187 | 2022 |
| Expressive TTS training with frame and style reconstruction loss R Liu, B Sisman, G Gao, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1806-1818, 2021 | 93 | 2021 |
| Teacher-student training for robust tacotron-based tts R Liu, B Sisman, J Li, F Bao, G Gao, H Li ICASSP 2020-2020 IEEE international conference on acoustics, speech and …, 2020 | 68 | 2020 |
| Reinforcement learning for emotional text-to-speech synthesis with improved emotion discriminability R Liu, B Sisman, H Li arXiv preprint arXiv:2104.01408, 2021 | 48 | 2021 |
| Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities H Zuo, R Liu, J Zhao, G Gao, H Li ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 40 | 2023 |
| GraphSpeech: Syntax-Aware Graph Attention Network For Neural Speech Synthesis R Liu, B Sisman, H Li IEEE ICASSP 2021. IEEE International Conference on Acoustics, Speech and …, 2021 | 35 | 2021 |
| Exploiting Morphological and Phonological Features to Improve Prosodic Phrasing for Mongolian Speech Synthesis R Liu, B Sisman, F Bao, J Yang, G Gao, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 274-285, 2021 | 31 | 2021 |
| Mongolian text-to-speech system based on deep neural network R Liu, F Bao, G Gao, Y Wang Man-Machine Speech Communication: 14th National Conference, NCMMSC 2017 …, 2018 | 31 | 2018 |
| Modeling prosodic phrasing with multi-task learning in tacotron-based TTS R Liu, B Sisman, F Bao, G Gao, H Li IEEE Signal Processing Letters 27, 1470-1474, 2020 | 29 | 2020 |
| Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model. R Liu, F Bao, G Gao, H Zhang, Y Wang Interspeech, 57-61, 2018 | 24 | 2018 |
| Text-to-speech for low-resource agglutinative language with morphology-aware language model pre-training R Liu, Y Hu, H Zuo, Z Luo, L Wang, G Gao IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 21 | 2024 |
| Mer 2024: Semi-supervised learning, noise robustness, and open-vocabulary multimodal emotion recognition Z Lian, H Sun, L Sun, Z Wen, S Zhang, S Chen, H Gu, J Zhao, Z Ma, ... Proceedings of the 2nd International Workshop on Multimodal and Responsible …, 2024 | 20 | 2024 |
| Multistage deep transfer learning for EmIoT-Enabled Human–Computer interaction R Liu, Q Liu, H Zhu, H Cao IEEE Internet of Things Journal 9 (16), 15128-15137, 2022 | 19 | 2022 |
| Fasttalker: A neural text-to-speech architecture with shallow and group autoregression R Liu, B Sisman, Y Lin, H Li Neural Networks 141, 306-314, 2021 | 19 | 2021 |
| Visualtts: Tts with accurate lip-speech synchronization for automatic voice over J Lu, B Sisman, R Liu, M Zhang, H Li ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 18 | 2022 |
| Wavetts: Tacotron-based tts with joint time-frequency domain loss R Liu, B Sisman, F Bao, G Gao, H Li arXiv preprint arXiv:2002.00417, 2020 | 18 | 2020 |
| Emotion rendering for conversational speech synthesis with heterogeneous graph-based context modeling R Liu, Y Hu, Y Ren, X Yin, H Li Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18698 …, 2024 | 17 | 2024 |
| Contrastive Learning based Modality-Invariant Feature Acquisition for Robust Multimodal Emotion Recognition with Missing Modalities R Liu, H Zuo, Z Lian, BW Schuller, H Li IEEE Transactions on Affective Computing, 2024 | 17 | 2024 |
| Controllable Accented Text-to-Speech Synthesis With Fine and Coarse-Grained Intensity Rendering R Liu, B Sisman, G Gao, H Li IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | 15 | 2024 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; NUS, Singapore在 u.nus.edu 的电子邮件经过验证