| 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 | 602 | 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 | 136 | 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 | 86 | 2019 |
| 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 | 86 | 2018 |
| 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 | 84 | 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 | 71 | 2017 |
| 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 | 68 | 2018 |
| Saliency-driven word alignment interpretation for neural machine translation S Ding, H Xu, P Koehn arXiv preprint arXiv:1906.10282, 2019 | 67 | 2019 |
| Pronunciation and silence probability modeling for ASR. G Chen, H Xu, M Wu, D Povey, S Khudanpur Interspeech, 533-537, 2015 | 54 | 2015 |
| 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 | 47 | 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 | 42 | 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 | 32 | 2017 |
| 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: Research Track, 12-20, 2019 | 30 | 2019 |
| 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 | 28 | 2020 |
| 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 | 19 | 2018 |
| The JHU parallel corpus filtering systems for WMT 2018 H Khayrallah, H Xu, P Koehn EMNLP 2018 Third Conference on Machine Translation (WMT18), 896-899, 2018 | 11 | 2018 |
| Modeling phonetic context with non-random forests for speech recognition. H Xu, G Chen, D Povey, S Khudanpur Interspeech, 2117-2121, 2015 | 11 | 2015 |
| 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 | 10 | 2019 |
| Efficient sequence transduction by jointly predicting tokens and durations H Xu, F Jia, S Majumdar, H Huang, S Watanabe, B Ginsburg International Conference on Machine Learning, 38462-38484, 2023 | 8 | 2023 |
| 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 | 5 | 2021 |
Sanjeev KhudanpurThe Johns Hopkins University在 jhu.edu 的电子邮件经过验证
