| 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 | 694 | 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 | 143 | 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 | 97 | 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 | 94 | 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 | 91 | 2019 |
| 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 | 79 | 2017 |
| Saliency-driven word alignment interpretation for neural machine translation S Ding, H Xu, P Koehn arXiv preprint arXiv:1906.10282, 2019 | 75 | 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 | 69 | 2018 |
| Pronunciation and silence probability modeling for ASR. G Chen, H Xu, M Wu, D Povey, S Khudanpur Interspeech, 533-537, 2015 | 57 | 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 | 50 | 2017 |
| 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 | 45 | 2023 |
| 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 | 45 | 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 | 43 | 2020 |
| 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 | 35 | 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 | 33 | 2017 |
| 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 | 18 | 2018 |
| Bypass temporal classification: Weakly supervised automatic speech recognition with imperfect transcripts D Gao, M Wiesner, H Xu, LP Garcia, D Povey, S Khudanpur arXiv preprint arXiv:2306.01031, 2023 | 13 | 2023 |
| Speed of light exact greedy decoding for rnn-t speech recognition models on gpu D Galvez, V Bataev, H Xu, T Kaldewey arXiv preprint arXiv:2406.03791, 2024 | 12 | 2024 |
| Learning from flawed data: Weakly supervised automatic speech recognition D Gao, H Xu, D Raj, LPG Perera, D Povey, S Khudanpur 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 12 | 2023 |
| Modeling phonetic context with non-random forests for speech recognition. H Xu, G Chen, D Povey, S Khudanpur Interspeech, 2117-2121, 2015 | 12 | 2015 |
Sanjeev KhudanpurThe Johns Hopkins UniversityVerified email at jhu.edu
