| DEEP BEAMFORMING NETWORKS FOR MULTI-CHANNEL SPEECH RECOGNITION X Xiao, S Watanabe, H Erdogan, L Lu, J Hershey, ML Seltzer, G Chen, ... ICASSP, 2016 | 123 | 2016 |
| Multiplicative LSTM for sequence modelling B Krause, L Lu, I Murray, S Renals arXiv preprint arXiv:1609.07959, 2016 | 115 | 2016 |
| ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION L Lu, X Zhang, S Renals ICASSP, 2016 | 104 | 2016 |
| Top-down tree long short-term memory networks X Zhang, L Lu, M Lapata arXiv preprint arXiv:1511.00060, 2015 | 98* | 2015 |
| A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition L Lu, X Zhang, K Cho, S Renals Sixteenth Annual Conference of the International Speech Communication …, 2015 | 66 | 2015 |
| 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 | 65 | 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 | 63 | 2017 |
| Knowledge distillation for small-footprint highway networks L Lu, M Guo, S Renals 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 60 | 2017 |
| 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 | 50 | 2013 |
| 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 | 45 | 2016 |
| 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 | 44 | 2011 |
| Regularized subspace Gaussian mixture models for speech recognition L Lu, A Ghoshal, S Renals IEEE Signal Processing Letters 18 (7), 419-422, 2011 | 38 | 2011 |
| Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition L Lu, A Ghoshal, S Renals 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 28 | 2012 |
| Cross-lingual subspace gaussian mixture models for low-resource speech recognition L Lu, A Ghoshal, S Renals IEEE/ACM transactions on audio, speech, and language processing 22 (1), 17-27, 2013 | 27 | 2013 |
| Noise-robust whispered speech recognition using a non-audible-murmur microphone with VTS compensation CY Yang, G Brown, L Lu, J Yamagishi, S King 2012 8th International Symposium on Chinese Spoken Language Processing, 220-223, 2012 | 25 | 2012 |
| 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 | 23 | 2020 |
| End-to-end neural segmental models for speech recognition H Tang, L Lu, L Kong, K Gimpel, K Livescu, C Dyer, NA Smith, S Renals IEEE Journal of Selected Topics in Signal Processing 11 (8), 1254-1264, 2017 | 19 | 2017 |
| Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition L Lu, S Renals | 19 | 2015 |
| Multitask learning with CTC and segmental CRF for speech recognition L Lu, L Kong, C Dyer, NA Smith arXiv preprint arXiv:1702.06378, 2017 | 18 | 2017 |
| Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models L Lu, KK Chin, A Ghoshal, S Renals IEEE Transactions on Audio, Speech and Language Processing, 2013 | 18 | 2013 |
