| Machine learned systems M Paulik, MS Seigel, RC Van Dalen US Patent App. 15/917,230, 2018 | 163 | 2018 |
| Federated evaluation and tuning for on-device personalization: System design & applications M Paulik, M Seigel, H Mason, D Telaar, J Kluivers, R van Dalen, CW Lau, ... arXiv preprint arXiv:2102.08503, 2021 | 114 | 2021 |
| Improving on-device speaker verification using federated learning with privacy F Granqvist, M Seigel, R Van Dalen, A Cahill, S Shum, M Paulik arXiv preprint arXiv:2008.02651, 2020 | 69 | 2020 |
| Automatically grading learners’ English using a Gaussian process RC van Dalen, K Knill, M Gales ISCA, 2015 | 63 | 2015 |
| Enforcing fairness in private federated learning via the modified method of differential multipliers BR Gálvez, F Granqvist, R van Dalen, M Seigel NeurIPS 2021 Workshop Privacy in Machine Learning, 2021 | 61* | 2021 |
| Extended VTS for Noise-Robust Speech Recognition RC van Dalen, MJF Gales IEEE Transactions on Audio Speech and Language Processing 19 (4), 733, 2011 | 51 | 2011 |
| Towards automatic assessment of spontaneous spoken English Y Wang, MJF Gales, KM Knill, K Kyriakopoulos, A Malinin, RC van Dalen, ... Speech Communication 104, 47-56, 2018 | 48 | 2018 |
| Towards using conversations with spoken dialogue systems in the automated assessment of non-native speakers of English D Litman, S Young, M Gales, K Knill, K Ottewell, R Van Dalen, D Vandyke Proceedings of the 17th annual meeting of the special interest group on …, 2016 | 38 | 2016 |
| Predictive linear transforms for noise robust speech recognition MJF Gales, RC van Dalen 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU), 59-64, 2007 | 33 | 2007 |
| Training large-vocabulary neural language models by private federated learning for resource-constrained devices M Xu, C Song, Y Tian, N Agrawal, F Granqvist, R van Dalen, X Zhang, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 26 | 2023 |
| Improving multiple-crowd-sourced transcriptions using a speech recogniser RC Van Dalen, KM Knill, P Tsiakoulis, MJF Gales 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 25 | 2015 |
| Off-topic response detection for spontaneous spoken english assessment A Malinin, R Van Dalen, K Knill, Y Wang, M Gales Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 23 | 2016 |
| Covariance modelling for noise-robust speech recognition. RC van Dalen, MJF Gales Interspeech, 2000-2003, 2008 | 14 | 2008 |
| Transforming features to compensate speech recogniser models for noise. RC van Dalen, F Flego, MJF Gales INTERSPEECH, 2499-2502, 2009 | 12 | 2009 |
| On the (in) efficiency of acoustic feature extractors for self-supervised speech representation learning T Parcollet, S Zhang, R van Dalen, AGCP Ramos, S Bhattacharya Interspeech 2023, 2023 | 11 | 2023 |
| Statistical Models for Noise-Robust Speech Recognition RC van Dalen | 9 | 2011 |
| Asymptotically exact noise-corrupted speech likelihoods. RC van Dalen, MJF Gales INTERSPEECH, 709-712, 2010 | 9 | 2010 |
| Infinite structured support vector machines for speech recognition J Yang, RC Van Dalen, SX Zhang, MJF Gales 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 7 | 2014 |
| Efficient decoding with continuous rational kernels using the expectation semiring RC van Dalen, A Ragni, MJF Gales University of Cambridge, Department of Engineering, 2012 | 7 | 2012 |
| Lexical stress in continuous speech recognition. RC van Dalen, P Wiggers, LJM Rothkrantz INTERSPEECH, 2006 | 7 | 2006 |
Mark GalesCambridge UniversityVerified email at eng.cam.ac.uk
