| 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 | 587 | 2018 |
| A time-restricted self-attention layer for asr D Povey, H Hadian, P Ghahremani, K Li, S Khudanpur 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 189 | 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 |
| Towards Code-switching ASR for End-to-end CTC Models K Li, J Li, G Ye, R Zhao, Y Gong ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 87 | 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 | 83 | 2018 |
| Localization of transcranial targets for photoacoustic-guided endonasal surgeries MAL Bell, AK Ostrowski, K Li, P Kazanzides, EM Boctor Photoacoustics 3 (2), 78-87, 2015 | 80 | 2015 |
| 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 |
| Small angular displacement measurement based on an autocollimator and a common-path compensation principle K Li, C Kuang, X Liu Review of Scientific Instruments 84 (1), 2013 | 50 | 2013 |
| An Empirical Study of Transformer-Based Neural Language Model Adaptation K Li, Z Liu, T He, H Huang, F Peng, D Povey, S Khudanpur ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 42 | 2020 |
| Prompting Large Language Models with Speech Recognition Abilities Y Fathullah, C Wu, E Lakomkin, J Jia, Y Shangguan, K Li, J Guo, W Xiong, ... arXiv preprint arXiv:2307.11795, 2023 | 32 | 2023 |
| Speaker Adaptation for End-to-End CTC Models K Li, J Li, Y Zhao, K Kumar, Y Gong 2018 IEEE Spoken Language Technology Workshop (SLT), 542-549, 2018 | 26 | 2018 |
| A parallelizable lattice rescoring strategy with neural language models K Li, D Povey, S Khudanpur ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 18 | 2021 |
| The JHU multi-microphone multi-speaker ASR system for the CHiME-6 challenge A Arora, D Raj, AS Subramanian, K Li, B Ben-Yair, M Maciejewski, ... arXiv preprint arXiv:2006.07898, 2020 | 16 | 2020 |
| Quantifying bone thickness, light transmission, and contrast interrelationships in transcranial photoacoustic imaging MAL Bell, AK Ostrowski, K Li, P Kaanzides, E Boctor Photons Plus Ultrasound: Imaging and Sensing 2015 9323, 67-73, 2015 | 16 | 2015 |
| Streaming Transformer Transducer Based Speech Recognition Using Non-Causal Convolution Y Shi, C Wu, D Wang, A Xiao, J Mahadeokar, X Zhang, C Liu, K Li, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 10 | 2022 |
| Streaming parallel transducer beam search with fast-slow cascaded encoders J Mahadeokar, Y Shi, K Li, D Le, J Zhu, V Chandra, O Kalinli, ML Seltzer arXiv preprint arXiv:2203.15773, 2022 | 10 | 2022 |
| An Analysis of Source Context Dependency in Neural Machine Translation X Ma, K Li, P Koehn European Association for Machine Translation, 2018 | 8 | 2018 |
| Quality assurance using outlier detection on an automatic segmentation method for the cerebellar peduncles K Li, C Ye, Z Yang, A Carass, SH Ying, JL Prince Medical Imaging 2016: Image Processing 9784, 398-404, 2016 | 8 | 2016 |
| READ: Recurrent Adaptation of Large Transformers S Wang, J Nguyen, K Li, CJ Wu arXiv preprint arXiv:2305.15348, 2023 | 7 | 2023 |
| Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition S Kim, K Li, L Kabela, R Huang, J Zhu, O Kalinli, D Le arXiv preprint arXiv:2211.00174, 2022 | 5 | 2022 |
Sanjeev KhudanpurThe Johns Hopkins UniversityVerified email at jhu.edu
