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Rogier van Dalen
Rogier van Dalen
Samsung AI Center
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Machine learned systems
M Paulik, MS Seigel, RC Van Dalen
US Patent App. 15/917,230, 2018
1542018
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
892021
Automatically grading learners¡¯ English using a Gaussian process
RC van Dalen, K Knill, M Gales
ISCA, 2015
602015
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
552020
Extended VTS for Noise-Robust Speech Recognition
RC van Dalen, MJF Gales
IEEE Transactions on Audio Speech and Language Processing 19 (4), 733, 2011
512011
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
412018
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
37*2021
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
352016
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
332007
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
242015
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
202016
Covariance modelling for noise-robust speech recognition.
RC van Dalen, MJF Gales
Interspeech, 2000-2003, 2008
142008
Transforming features to compensate speech recogniser models for noise.
RC van Dalen, F Flego, MJF Gales
INTERSPEECH, 2499-2502, 2009
122009
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
102023
Statistical Models for Noise-Robust Speech Recognition
RC van Dalen
92011
Asymptotically exact noise-corrupted speech likelihoods.
RC van Dalen, MJF Gales
INTERSPEECH, 709-712, 2010
92010
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
72014
Efficient decoding with continuous rational kernels using the expectation semiring
RC van Dalen, A Ragni, MJF Gales
University of Cambridge, Department of Engineering, 2012
72012
Lexical stress in continuous speech recognition.
RC van Dalen, P Wiggers, LJM Rothkrantz
INTERSPEECH, 2006
72006
Efficient decoding with generative score-spaces using the expectation semiring
RC van Dalen, A Ragni, MJF Gales
2013 IEEE International Conference on Acoustics, Speech and Signal ¡¦, 2013
52013
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