| A review of deep learning based speech synthesis Y Ning, S He, Z Wu, C Xing, L Zhang Applied Sciences 9 (19), 4050, 2019 | 166 | 2019 |
| Speech emotion recognition using capsule networks X Wu, S Liu, Y Cao, X Li, J Yu, D Dai, X Ma, S Hu, Z Wu, X Liu, H Meng ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 118 | 2019 |
| Emotion recognition from variable-length speech segments using deep learning on spectrograms X Ma, Z Wu, J Jia, M Xu, H Meng, L Cai INTERSPEECH 2018, 3683-3687, 2018 | 99 | 2018 |
| MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification Y Zhang, Z Lv, H Wu, S Zhang, P Hu, Z Wu, H Lee, H Meng Proc. Interspeech 2022, 306-310, 2022 | 92 | 2022 |
| Multi-level fusion of audio and visual features for speaker identification Z Wu, L Cai, H Meng Advances in Biometrics, 493-499, 2006 | 92 | 2006 |
| A deep recurrent approach for acoustic-to-articulatory inversion P Liu, Q Yu, Z Wu, S Kang, H Meng, L Cai 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 86 | 2015 |
| Question detection from acoustic features using recurrent neural network with gated recurrent unit Y Tang, Y Huang, Z Wu, H Meng, M Xu, L Cai 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 81 | 2016 |
| 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 | 78 | 2019 |
| FullSubNet+: Channel Attention Fullsubnet with Complex Spectrograms for Speech Enhancement J Chen, Z Wang, D Tuo, Z Wu, S Kang, H Meng ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 72 | 2022 |
| Automatic lexical stress and pitch accent detection for L2 English speech using multi-distribution deep neural networks K Li, S Mao, X Li, Z Wu, H Meng Speech Communication 96, 28-36, 2018 | 63 | 2018 |
| Real-time synthesis of Chinese visual speech and facial expressions using MPEG-4 FAP features in a three-dimensional avatar. Z Wu, S Zhang, L Cai, HM Meng INTERSPEECH, 1802-1805, 2006 | 61 | 2006 |
| Emotion controllable speech synthesis using emotion-unlabeled dataset with the assistance of cross-domain speech emotion recognition X Cai, D Dai, Z Wu, X Li, J Li, H Meng ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 60 | 2021 |
| Learning Discriminative Features from Spectrograms Using Center Loss for Speech Emotion Recognition D Dai, Z Wu, R Li, X Wu, J Jia, H Meng ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 58 | 2019 |
| Speech-XLNet: Unsupervised Acoustic Model Pretraining For Self-Attention Networks X Song, G Wang, Y Huang, Z Wu, D Su, H Meng Proc. Interspeech 2020, 3765-3769, 2020 | 55 | 2020 |
| Modelling high-dimensional sequences with LSTM-RTRBM: application to polyphonic music generation Q Lyu, Z Wu, J Zhu, H Meng Proceedings of the 24th International Conference on Artificial Intelligence …, 2015 | 51 | 2015 |
| Towards Multi-Scale Style Control for Expressive Speech Synthesis X Li, C Song, J Li, Z Wu, J Jia, H Meng Proc. Interspeech 2021, 4673-4677, 2021 | 46 | 2021 |
| Towards Discriminative Representation Learning for Speech Emotion Recognition R Li, Z Wu, J Jia, Y Bu, S Zhao, H Meng Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 46 | 2019 |
| One-Shot Voice Conversion with Global Speaker Embeddings H Lu, Z Wu, D Dai, R Li, S Kang, J Jia, H Meng Proc. Interspeech 2019, 669-673, 2019 | 44 | 2019 |
| End-to-end Code-switched TTS with Mix of Monolingual Recordings Y Cao, X Wu, S Liu, J Yu, X Li, Z Wu, X Liu, H Meng ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 43 | 2019 |
| Head and facial gestures synthesis using PAD model for an expressive talking avatar J Jia, Z Wu, S Zhang, HM Meng, L Cai Multimedia Tools and Applications 73 (1), 439-461, 2014 | 43 | 2014 |
Jia Jia (贾珈)Professor, 清华大学(Tsinghua University)Verified email at tsinghua.edu.cn
