| Semi-orthogonal low-rank matrix factorization for deep neural networks. D Povey, G Cheng, Y Wang, K Li, H Xu, M Yarmohammadi, S Khudanpur Interspeech, 3743-3747, 2018 | 334 | 2018 |
| A pruned rnnlm lattice-rescoring algorithm for automatic speech recognition H Xu, T Chen, D Gao, Y Wang, K Li, N Goel, Y Carmiel, D Povey, ... 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 96 | 2018 |
| 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 | 68 | 2018 |
| Espresso: A fast end-to-end neural speech recognition toolkit Y Wang, T Chen, H Xu, S Ding, H Lv, Y Shao, N Peng, L Xie, S Watanabe, ... 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019 | 49 | 2019 |
| Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition. K Li, H Xu, Y Wang, D Povey, S Khudanpur Interspeech 2018, 3373-3377, 2018 | 49 | 2018 |
| Zipporah: a Fast and Scalable Data Cleaning System for Noisy Web-Crawled Parallel Corpora H Xu, P Koehn Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 49 | 2017 |
| Pronunciation and silence probability modeling for ASR G Chen, H Xu, M Wu, D Povey, S Khudanpur Sixteenth Annual Conference of the International Speech Communication …, 2015 | 49 | 2015 |
| Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline SJ Chen, AS Subramanian, H Xu, S Watanabe arXiv preprint arXiv:1803.10109, 2018 | 47 | 2018 |
| The Kaldi OpenKWS System: Improving Low Resource Keyword Search. J Trmal, M Wiesner, V Peddinti, X Zhang, P Ghahremani, Y Wang, ... Interspeech, 3597-3601, 2017 | 39 | 2017 |
| Saliency-driven word alignment interpretation for neural machine translation S Ding, H Xu, P Koehn arXiv preprint arXiv:1906.10282, 2019 | 36 | 2019 |
| Backstitch: Counteracting Finite-Sample Bias via Negative Steps. Y Wang, V Peddinti, H Xu, X Zhang, D Povey, S Khudanpur Interspeech, 1631-1635, 2017 | 29 | 2017 |
| Improving end-to-end speech recognition with pronunciation-assisted sub-word modeling H Xu, S Ding, S Watanabe ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 25 | 2019 |
| A gpu-based wfst decoder with exact lattice generation Z Chen, J Luitjens, H Xu, Y Wang, D Povey, S Khudanpur arXiv preprint arXiv:1804.03243, 2018 | 17 | 2018 |
| Robust document representations for cross-lingual information retrieval in low-resource settings M Yarmohammadi, X Ma, S Hisamoto, M Rahman, Y Wang, H Xu, ... Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 12-20, 2019 | 15 | 2019 |
| Modeling phonetic context with non-random forests for speech recognition H Xu, G Chen, D Povey, S Khudanpur Sixteenth Annual Conference of the International Speech Communication …, 2015 | 12 | 2015 |
| The JHU parallel corpus filtering systems for WMT 2018 H Khayrallah, H Xu, P Koehn Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018 | 9 | 2018 |
| Multilingual Speech Recognition with Self-Attention Structured Parameterization. Y Zhu, P Haghani, A Tripathi, B Ramabhadran, B Farris, H Xu, H Lu, ... INTERSPEECH, 4741-4745, 2020 | 8 | 2020 |
| The JHU ASR System for VOiCES from a Distance Challenge 2019. Y Wang, D Snyder, H Xu, V Manohar, PS Nidadavolu, D Povey, ... INTERSPEECH, 2488-2492, 2019 | 6 | 2019 |
| Cluster adaptive training with factorized decision trees for speech recognition. K Yu, H Xu Interspeech, 1243-1247, 2013 | 4 | 2013 |
| Convolutional Dropout and Wordpiece Augmentation for End-to-End Speech Recognition H Xu, Y Huang, Y Zhu, K Audhkhasi, B Ramabhadran ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
Sanjeev KhudanpurThe Johns Hopkins UniversityVerified email at jhu.edu
