emotion2vec: Self-supervised pre-training for speech emotion representation Z Ma, Z Zheng, J Ye, J Li, Z Gao, S Zhang, X Chen arXiv preprint arXiv:2312.15185, 2023 | 44 | 2023 |
Development of the cuhk elderly speech recognition system for neurocognitive disorder detection using the dementiabank corpus Z Ye, S Hu, J Li, X Xie, M Geng, J Yu, J Xu, B Xue, S Liu, X Liu, H Meng ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 39 | 2021 |
A comparative study of acoustic and linguistic features classification for alzheimer's disease detection J Li, J Yu, Z Ye, S Wong, M Mak, B Mak, X Liu, H Meng ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 36 | 2021 |
Context-aware Multimodal Fusion for Emotion Recognition. J Li, S Wang, Y Chao, X Liu, H Meng INTERSPEECH, 2013-2017, 2022 | 14 | 2022 |
Leveraging pretrained representations with task-related keywords for alzheimer’s disease detection J Li, K Song, J Li, B Zheng, D Li, X Wu, X Liu, H Meng ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 13 | 2023 |
Spoofing-aware speaker verification by multi-level fusion H Wu, L Meng, J Kang, J Li, X Li, X Wu, H Lee, H Meng arXiv preprint arXiv:2203.15377, 2022 | 5 | 2022 |
Dual Dropout Ranking of Linguistic Features for Alzheimer's Disease Recognition X Ke, MW Mak, J Li, HM Meng 2021 Asia-Pacific Signal and Information Processing Association Annual …, 2021 | 4 | 2021 |
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition J Li, X Wu, K Song, D Li, X Liu, H Meng ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |