| Language-specific characteristic assistance for code-switching speech recognition T Song, Q Xu, M Ge, L Wang, H Shi, Y Lv, Y Lin, J Dang arXiv preprint arXiv:2206.14580, 2022 | 17 | 2022 |
| End-to-end articulatory modeling for dysarthric articulatory attribute detection Y Lin, L Wang, J Dang, S Li, C Ding ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
| Staged Knowledge Distillation for End-to-End Dysarthric Speech Recognition and Speech Attribute Transcription. Y Lin, L Wang, S Li, J Dang, C Ding INTERSPEECH, 4791-4795, 2020 | 12 | 2020 |
| Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model. Q Xu, T Song, L Wang, H Shi, Y Lin, Y Lv, M Ge, Q Yu, J Dang INTERSPEECH, 1716-1720, 2022 | 5 | 2022 |
| Monolingual recognizers fusion for code-switching speech recognition T Song, Q Xu, H Lu, L Wang, H Shi, Y Lin, Y Yang, J Dang arXiv preprint arXiv:2211.01046, 2022 | 2 | 2022 |
| Finer-grained Modeling units-based Meta-Learning for Low-resource Tibetan Speech Recognition. S Qin, L Wang, S Li, Y Lin, J Dang INTERSPEECH, 2133-2137, 2022 | 2 | 2022 |
| Disordered speech recognition considering low resources and abnormal articulation Y Lin, L Wang, J Dang, S Li, C Ding Speech Communication 155, 103002, 2023 | 1 | 2023 |
| Adaptive attention network with domain adversarial training for multi-accent speech recognition Y Yang, H Shi, Y Lin, M Ge, L Wang, Q Hou, J Dang 2022 13th International Symposium on Chinese Spoken Language Processing …, 2022 | 1 | 2022 |
| CFDRN: A Cognition-inspired Feature Decomposition and Recombination Network for Dysarthric Speech Recognition Y Lin, L Wang, Y Yang, J Dang IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | | 2023 |
| Wav2vec‐MoE: An unsupervised pre‐training and adaptation method for multi‐accent ASR Y Lin, S Zhang, Z Gao, L Wang, Y Yang, J Dang Electronics Letters 59 (11), e12823, 2023 | | 2023 |
