| Investigations on speech recognition systems for low-resource dialectal Arabic–English code-switching speech I Hamed, P Denisov, CY Li, M Elmahdy, S Abdennadher, NT Vu Computer Speech & Language 72, 101278, 2022 | 40 | 2022 |
| Oh, Jeez! or uh-huh? A listener-aware Backchannel predictor on ASR transcriptions D Ortega, CY Li, NT Vu ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 19 | 2020 |
| Densely connected convolutional networks for speech recognition CY Li, NT Vu Speech Communication; 13th ITG-Symposium, 1-5, 2018 | 14 | 2018 |
| Context-aware neural-based dialog act classification on automatically generated transcriptions D Ortega, CY Li, G Vallejo, P Denisov, NT Vu ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 13 | 2019 |
| Improving Code-switching Language Modeling with Artificially Generated Texts using Cycle-consistent Adversarial Networks CY Li, NT Vu arXiv preprint arXiv:2112.06327; Interspeech 2020, 2020 | 12 | 2020 |
| Integrating knowledge in end-to-end automatic speech recognition for mandarin-english code-switching CY Li, NT Vu 2019 International Conference on Asian Language Processing (IALP), 160-165, 2019 | 11 | 2019 |
| ADVISER: A toolkit for developing multi-modal, multi-domain and socially-engaged conversational agents CY Li, D Ortega, D Väth, F Lux, L Vanderlyn, M Schmidt, M Neumann, ... arXiv preprint arXiv:2005.01777, 2020 | 10 | 2020 |
| Improving speech recognition on noisy speech via speech enhancement with multi-discriminators CycleGAN CY Li, NT Vu 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2021 | 8 | 2021 |
| Improving Semi-supervised End-to-end Automatic Speech Recognition using CycleGAN and Inter-domain Losses NTV Chia-Yu Li SLT2022, 2023 | 1* | 2023 |
| Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses CY Li, NT Vu The 3rd Annual Meeting of the Special Interest Group on Under-resourced …, 2024 | | 2024 |
| Investigation of densely connected convolutional networks with domain adversarial learning for noise robust speech recognition CY Li, NT Vu The 30th Conference on Electronic Speech Signal Processing (ESSV2019), 2019 | | 2019 |
Thang VuUniversity of StuttgartVerified email at ims.uni-stuttgart.de
