| Can generative large language models perform asr error correction? R Ma, M Qian, P Manakul, M Gales, K Knill arXiv preprint arXiv:2307.04172, 2023 | 49 | 2023 |
| Unsupervised dual paraphrasing for two-stage semantic parsing R Cao, S Zhu, C Yang, C Liu, R Ma, Y Zhao, L Chen, K Yu arXiv preprint arXiv:2005.13485, 2020 | 48 | 2020 |
| N-best t5: Robust asr error correction using multiple input hypotheses and constrained decoding space R Ma, MJF Gales, KM Knill, M Qian arXiv preprint arXiv:2303.00456, 2023 | 42 | 2023 |
| Aispeech-sjtu accent identification system for the accented english speech recognition challenge H Huang, X Xiang, Y Yang, R Ma, Y Qian ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 35 | 2021 |
| Aispeech-sjtu asr system for the accented english speech recognition challenge T Tan, Y Lu, R Ma, S Zhu, J Guo, Y Qian ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 17 | 2021 |
| Prior knowledge driven label embedding for slot filling in natural language understanding S Zhu, Z Zhao, R Ma, K Yu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1440-1451, 2020 | 16 | 2020 |
| Adapting an ASR foundation model for spoken language assessment R Ma, M Qian, MJF Gales, KM Knill arXiv preprint arXiv:2307.09378, 2023 | 12 | 2023 |
| Neural network language model compression with product quantization and soft binarization K Yu, R Ma, K Shi, Q Liu IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 2438-2449, 2020 | 12 | 2020 |
| Internal language model estimation through explicit context vector learning for attention-based encoder-decoder asr Y Liu, R Ma, H Xu, Y He, Z Ma, W Zhang arXiv preprint arXiv:2201.11627, 2022 | 11 | 2022 |
| An investigation on different underlying quantization schemes for pre-trained language models Z Zhao, Y Liu, L Chen, Q Liu, R Ma, K Yu Natural Language Processing and Chinese Computing: 9th CCF International …, 2020 | 11 | 2020 |
| Addressing the polysemy problem in language modeling with attentional multi-sense embeddings R Ma, L Jin, Q Liu, L Chen, K Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Neural lattice search for speech recognition R Ma, H Li, Q Liu, L Chen, K Yu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 10 | 2020 |
| Learn and Don't Forget: Adding a New Language to ASR Foundation Models M Qian, S Tang, R Ma, KM Knill, MJF Gales arXiv preprint arXiv:2407.06800, 2024 | 7 | 2024 |
| Highly efficient neural network language model compression using soft binarization training R Ma, Q Liu, K Yu 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 62-69, 2019 | 7 | 2019 |
| Investigating the emergent audio classification ability of asr foundation models R Ma, A Liusie, MJF Gales, KM Knill arXiv preprint arXiv:2311.09363, 2023 | 6 | 2023 |
| Adapting an unadaptable asr system R Ma, M Qian, MJF Gales, KM Knill arXiv preprint arXiv:2306.01208, 2023 | 6 | 2023 |
| Towards end-to-end spoken grammatical error correction S Bannò, R Ma, M Qian, KM Knill, MJF Gales ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 5 | 2024 |
| Internal language model estimation based adaptive language model fusion for domain adaptation R Ma, X Wu, J Qiu, Y Qin, H Xu, P Wu, Z Ma ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| ASR Error Correction using Large Language Models R Ma, M Qian, M Gales, K Knill arXiv preprint arXiv:2409.09554, 2024 | 2 | 2024 |
| Muting whisper: A universal acoustic adversarial attack on speech foundation models V Raina, R Ma, C McGhee, K Knill, M Gales arXiv preprint arXiv:2405.06134, 2024 | 2 | 2024 |
Mark GalesCambridge UniversityVerified email at eng.cam.ac.uk