| Sequence student-teacher training of deep neural networks JHM Wong, M Gales International Speech Communication Association, 2016 | 102 | 2016 |
| High-Accuracy and Low-Latency Speech Recognition with Two-Head Contextual Layer Trajectory LSTM Model J Li, R Zhao, E Sun, JHM Wong, A Das, Z Meng, Y Gong ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 24 | 2020 |
| Phonetic and graphemic systems for multi-genre broadcast transcription Y Wang, X Chen, MJF Gales, A Ragni, JHM Wong 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 24 | 2018 |
| Exploiting future word contexts in neural network language models for speech recognition X Chen, X Liu, Y Wang, A Ragni, JHM Wong, MJF Gales IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (9), 1444 …, 2019 | 23 | 2019 |
| Combination of end-to-end and hybrid models for speech recognition JHM Wong, Y Gaur, R Zhao, L Lu, E Sun, J Li, Y Gong Interspeech, 2020 | 17 | 2020 |
| Multi-task ensembles with teacher-student training JHM Wong, MJF Gales 2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 84-90, 2017 | 14 | 2017 |
| Sequence teacher-student training of acoustic models for automatic free speaking language assessment Y Wang, JHM Wong, MJF Gales, KM Knill, A Ragni 2018 IEEE Spoken Language Technology Workshop (SLT), 994-1000, 2018 | 13 | 2018 |
| General Sequence Teacher–Student Learning JHM Wong, MJF Gales, Y Wang IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (11 …, 2019 | 10 | 2019 |
| Student-Teacher Training with Diverse Decision Tree Ensembles. JHM Wong, MJF Gales Interspeech, 117-121, 2017 | 10 | 2017 |
| Variations of multi-task learning for spoken language assessment JHM Wong, H Zhang, N Chen Proc. Interspeech 2022, 4456-4460, 2022 | 6 | 2022 |
| Ensemble Combination between Different Time Segmentations JHM Wong, D Dimitriadis, K Kumatani, Y Gaur, G Polovets, ... ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 4 | 2021 |
| Learning Between Different Teacher and Student Models in ASR JHM Wong, MJF Gales, Y Wang 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 93-99, 2019 | 4 | 2019 |
| Distilling knowledge from Gaussian process teacher to neural network student JHM Wong, H Zhang, NF Chen Interspeech, 426-430, 2023 | 3 | 2023 |
| Hidden Markov Model Diarisation with Speaker Location Information JHM Wong, X Xiao, Y Gong ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
| Multiple output samples per input in a single-output Gaussian process JHM Wong, H Zhang, NF Chen Symposium for Celebrating 40 Years of Bayesian Learning in Speech and …, 2023 | 2 | 2023 |
| Variational Gaussian Process Data Uncertainty HMJ Wong, H Zhang, NF Chen 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 1-8, 2023 | 2 | 2023 |
| Noise robust distillation of self-supervised speech models via correlation metrics F Ritter-Gutierrez, KP Huang, D Ng, JHM Wong, H Lee, ES Chng, ... arXiv preprint arXiv:2312.12153, 2023 | 1 | 2023 |
| Modelling Inter-rater Uncertainty in Spoken Language Assessment JHM Wong, H Zhang, NF Chen IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 1 | 2023 |
| Bounded Gaussian process with multiple outputs and ensemble combination JHM Wong, H Zhang, NF Chen IEEE Conference on Artificial Intelligence, 2024 | | 2024 |
| Distilling Distributional Uncertainty from a Gaussian Process JHM Wong, NF Chen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
