| Multiplicative LSTM for sequence modelling B Krause, L Lu, I Murray, S Renals arXiv preprint arXiv:1609.07959, 2016 | 253 | 2016 |
| DEEP BEAMFORMING NETWORKS FOR MULTI-CHANNEL SPEECH RECOGNITION X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ... ICASSP, 2016 | 223 | 2016 |
| Continuous speech separation: Dataset and analysis Z Chen, T Yoshioka, L Lu, T Zhou, Z Meng, Y Luo, J Wu, X Xiao, J Li ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 218 | 2020 |
| ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION L Lu, X Zhang, S Renals ICASSP, 2016 | 159 | 2016 |
| Multitask learning with low-level auxiliary tasks for encoder-decoder based speech recognition S Toshniwal, H Tang, L Lu, K Livescu arXiv preprint arXiv:1704.01631, 2017 | 130 | 2017 |
| Top-down tree long short-term memory networks X Zhang, L Lu, M Lapata arXiv preprint arXiv:1511.00060, 2015 | 129* | 2015 |
| A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition L Lu, X Zhang, K Cho, S Renals INTERSPEECH 2015 16th Annual Conference of the International Speech …, 2015 | 129 | 2015 |
| Internal language model estimation for domain-adaptive end-to-end speech recognition Z Meng, S Parthasarathy, E Sun, Y Gaur, N Kanda, L Lu, X Chen, R Zhao, ... 2021 IEEE Spoken Language Technology Workshop (SLT), 243-250, 2021 | 109 | 2021 |
| Knowledge distillation for small-footprint highway networks L Lu, M Guo, S Renals 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 97 | 2017 |
| Segmental recurrent neural networks for end-to-end speech recognition L Lu, L Kong, C Dyer, NA Smith, S Renals arXiv preprint arXiv:1603.00223, 2016 | 77 | 2016 |
| Low latency end-to-end streaming speech recognition with a scout network C Wang, Y Wu, S Liu, J Li, L Lu, G Ye, M Zhou arXiv preprint arXiv:2003.10369, 2020 | 61 | 2020 |
| Minimum latency training strategies for streaming sequence-to-sequence ASR H Inaguma, Y Gaur, L Lu, J Li, Y Gong ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 56 | 2020 |
| Acoustic data-driven pronunciation lexicon for large vocabulary speech recognition L Lu, A Ghoshal, S Renals 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 374-379, 2013 | 56 | 2013 |
| Internal language model training for domain-adaptive end-to-end speech recognition Z Meng, N Kanda, Y Gaur, S Parthasarathy, E Sun, L Lu, X Chen, J Li, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 54 | 2021 |
| Exploring transformers for large-scale speech recognition L Lu, C Liu, J Li, Y Gong arXiv preprint arXiv:2005.09684, 2020 | 52 | 2020 |
| SPEAKER-AWARE TRAINING OF LSTM-RNNS FOR ACOUSTIC MODELLING T Tan, Y Qian, D Yu, S Kundu, L Lu, KC SIM, X Xiao, Y Zhang ICASSP, 2016 | 52 | 2016 |
| Semantic mask for transformer based end-to-end speech recognition C Wang, Y Wu, Y Du, J Li, S Liu, L Lu, S Ren, G Ye, S Zhao, M Zhou arXiv preprint arXiv:1912.03010, 2019 | 49 | 2019 |
| Regularized subspace Gaussian mixture models for cross-lingual speech recognition L Lu, A Ghoshal, S Renals 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 365-370, 2011 | 45 | 2011 |
| Streaming end-to-end multi-talker speech recognition L Lu, N Kanda, J Li, Y Gong IEEE Signal Processing Letters 28, 803-807, 2021 | 43 | 2021 |
| Regularized subspace Gaussian mixture models for speech recognition L Lu, A Ghoshal, S Renals IEEE Signal Processing Letters 18 (7), 419-422, 2011 | 41 | 2011 |
