| DCCRN: Deep complex convolution recurrent network for phase-aware speech enhancement Y Hu, Y Liu, S Lv, M Xing, S Zhang, Y Fu, J Wu, B Zhang, L Xie arXiv preprint arXiv:2008.00264, 2020 | 442 | 2020 |
| Multi-band melgan: Faster waveform generation for high-quality text-to-speech G Yang, S Yang, K Liu, P Fang, W Chen, L Xie 2021 IEEE Spoken Language Technology Workshop (SLT), 492-498, 2021 | 192 | 2021 |
| An unsupervised deep domain adaptation approach for robust speech recognition S Sun, B Zhang, L Xie, Y Zhang Neurocomputing 257, 79-87, 2017 | 164 | 2017 |
| Unsupervised domain adaptation via domain adversarial training for speaker recognition Q Wang, W Rao, S Sun, L Xie, ES Chng, H Li 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 141 | 2018 |
| Photo-real talking head with deep bidirectional LSTM B Fan, L Wang, FK Soong, L Xie 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 139 | 2015 |
| Wenet: Production oriented streaming and non-streaming end-to-end speech recognition toolkit Z Yao, D Wu, X Wang, B Zhang, F Yu, C Yang, Z Peng, X Chen, L Xie, ... arXiv preprint arXiv:2102.01547, 2021 | 132 | 2021 |
| Type-2 fuzzy Gaussian mixture models J Zeng, L Xie, ZQ Liu Pattern Recognition 41 (12), 3636-3643, 2008 | 119 | 2008 |
| Domain adversarial training for accented speech recognition S Sun, CF Yeh, MY Hwang, M Ostendorf, L Xie 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 116 | 2018 |
| A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing TH Pham, Y Qiu, J Zeng, L Xie, P Zhang Nature machine intelligence 3 (3), 247-257, 2021 | 107 | 2021 |
| Attention-based end-to-end models for small-footprint keyword spotting C Shan, J Zhang, Y Wang, L Xie arXiv preprint arXiv:1803.10916, 2018 | 106 | 2018 |
| Realistic mouth-synching for speech-driven talking face using articulatory modelling L Xie, ZQ Liu IEEE Transactions on Multimedia 9 (3), 500-510, 2007 | 95 | 2007 |
| Component fusion: Learning replaceable language model component for end-to-end speech recognition system C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 90 | 2019 |
| Time domain audio visual speech separation J Wu, Y Xu, SX Zhang, LW Chen, M Yu, L Xie, D Yu 2019 IEEE automatic speech recognition and understanding workshop (ASRU …, 2019 | 89 | 2019 |
| Parallel inference of Dirichlet process Gaussian mixture models for unsupervised acoustic modeling: A feasibility study H Chen, CC Leung, L Xie, B Ma, H Li Sixteenth Annual Conference of the International Speech Communication …, 2015 | 84 | 2015 |
| A coupled HMM approach to video-realistic speech animation L Xie, ZQ Liu Pattern Recognition 40 (8), 2325-2340, 2007 | 84 | 2007 |
| An ensemble of deep neural networks for object tracking X Zhou, L Xie, P Zhang, Y Zhang 2014 IEEE International Conference on Image Processing (ICIP), 843-847, 2014 | 80 | 2014 |
| Wenetspeech: A 10000+ hours multi-domain mandarin corpus for speech recognition B Zhang, H Lv, P Guo, Q Shao, C Yang, L Xie, X Xu, H Bu, X Chen, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 77 | 2022 |
| Deep Bidirectional LSTM Modeling of Timbre and Prosody for Emotional Voice Conversion. H Ming, DY Huang, L Xie, J Wu, M Dong, H Li Interspeech, 2453-2457, 2016 | 76 | 2016 |
| Investigating end-to-end speech recognition for mandarin-english code-switching C Shan, C Weng, G Wang, D Su, M Luo, D Yu, L Xie ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 74 | 2019 |
| TranSynergy: Mechanism-driven interpretable deep neural network for the synergistic prediction and pathway deconvolution of drug combinations Q Liu, L Xie PLoS computational biology 17 (2), e1008653, 2021 | 73 | 2021 |
Haizhou LiThe Chinese University of Hong Kong, Shenzhen, China; NUS, SingaporeVerified email at u.nus.edu
