Detecting Alzheimer’s Disease from Speech Using Neural Networks with Bottleneck Features and Data Augmentation Z Liu, Z Guo, Z Ling, Y Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 24 | 2021 |
Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection Z Guo, Z Liu, Z Ling, S Wang, L Jin, Y Li Proceedings of the 28th International Conference on Computational …, 2020 | 19 | 2020 |
Dementia detection by analyzing spontaneous mandarin speech Z Liu, Z Guo, Z Ling, S Wang, L Jin, Y Li 2019 Asia-Pacific Signal and Information Processing Association Annual …, 2019 | 16* | 2019 |
Integrating Discrete Word-Level Style Variations into Non-Autoregressive Acoustic Models for Speech Synthesis Z Liu, N Wu, Y Zhang, Z Ling Proc. Interspeech 2022, 5508-5512, 2022 | 5 | 2022 |
Discourse-Level Prosody Modeling with a Variational Autoencoder for Non-Autoregressive Expressive Speech Synthesis NQ Wu, ZC Liu, ZH Ling ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
Speech Synthesis with Self-Supervisedly Learnt Prosodic Representations ZC Liu, ZH Ling, YJ Hu, J Pan, YD Wu, JW Wang Proceedings of the Annual Conference of the International Speech …, 2023 | 2* | 2023 |
Detecting Alzheimer’s Disease Based on Acoustic Features Extracted from Pre-trained Models K Mei, Z Guo, Z Liu, L Liu, X Li, Z Ling CAAI International Conference on Artificial Intelligence, 272-283, 2022 | 1 | 2022 |
PE-wav2vec: A Prosody-Enhanced Speech Model for Self-Supervised Prosody Learning in TTS ZC Liu, L Chen, YJ Hu, ZH Ling, J Pan IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024 | | 2024 |
Considering Temporal Connection between Turns for Conversational Speech Synthesis K Mei, Z Liu, H Du, H Li, Y Ai, L Chen, Z Ling ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |