| Feature Engineering in Context-Dependent Deep Neural Networks for Conversational Speech Transcription F Seide, G Li, X Chen, D Yu 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 24-29, 2011 | 743 | 2011 |
| Efficient Lattice Rescoring using Recurrent Neural Network Language Models X Liu, Y Wang, X Chen, MJF Gales, PC Woodland | 109 | 2014 |
| Recurrent Neural Network Language Model Adaptation for Multi-genre Broadcast Speech Recognition X Chen, T Tan, X Liu, P Lanchantin, M Wan, MJF Gales, PC Woodland Sixteenth Annual Conference of the International Speech Communication …, 2015 | 104 | 2015 |
| Recurrent Neural Network Language Model Training with Noise Contrastive Estimation for Speech Recognition X Chen, X Liu, MJF Gales, PC Woodland | 104 | 2015 |
| Pipelined Back-Propagation for Context-Dependent Deep Neural Networks X Chen, A Eversole, G Li, D Yu, F Seide Thirteenth Annual Conference of the International Speech Communication …, 2012 | 104 | 2012 |
| Developing real-time streaming transformer transducer for speech recognition on large-scale dataset X Chen, Y Wu, Z Wang, S Liu, J Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 102 | 2021 |
| CUED-RNNLM–An Open-Source Toolkit for Efficient Training and Evaluation of Recurrent Neural Network Language Models X Chen, X Liu, Y Qian, MJF Gales, PC Woodland ICASSP, 2016 | 95 | 2016 |
| Efficient GPU-based Training of Recurrent Neural Network Language Models using Spliced Sentence Bunch X Chen, Y Wang, X Liu, MJF Gales, PC Woodland Fifteenth Annual Conference of the International Speech Communication …, 2014 | 80 | 2014 |
| Neural Network Language Modeling with Letter-based Features and Importance Sampling H Xu, K Li, Y Wang, J Wang, S Kang, X Chen, D Povey, S Khudanpur 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 79 | 2018 |
| Memory-efficient pipeline-parallel DNN training D Narayanan, A Phanishayee, K Shi, X Chen, M Zaharia ICML 2021, 2021 | 72 | 2021 |
| Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition X Chen, X Liu, Y Wang, MJF Gales, P Woodland IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016 | 70 | 2016 |
| Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models X Liu, X Chen, Y Wang, M Gales, P Woodland IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016 | 63 | 2016 |
| 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 | 53 | 2021 |
| Investigating bidirectional recurrent neural network language models for speech recognition X Chen, A Ragni, X Liu, MJF Gales Proceedings of Interspeech 2017, 269-273, 2017 | 48 | 2017 |
| Improving the Training and Evaluation Efficiency of Recurrent Neural Network Language Models X Chen, X Liu, MJF Gales, PC Woodland 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 38 | 2015 |
| Gaussian process lstm recurrent neural network language models for speech recognition M Lam, X Chen, S Hu, J Yu, X Liu, M Helen ICASSP, 2019 | 35 | 2019 |
| Impact of Single-Microphone Dereverberation on DNN-based Meeting Transcription Systems T Yoshioka, X Chen, MJF Gales 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 34 | 2014 |
| Future Word Contexts in Neural Network Language Models X Chen, X Liu, A Ragni, Y Wang, M Gales IEEE ASRU 2017, 2017 | 32 | 2017 |
| 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 | 28 | 2021 |
| Exploiting Future Word Contexts in Neural Network Language Models for Speech Recognition X Chen, A Liu, Xunying, Wang, Yu, Ragni, W Jeremy, M Gales IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2019 | 22 | 2019 |
Mark GalesCambridge UniversityVerified email at eng.cam.ac.uk
