Rogier van Dalen
Rogier van Dalen
Samsung AI Center
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Cited by
Cited by
Machine learned systems
M Paulik, MS Seigel, RC Van Dalen
US Patent App. 15/917,230, 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
Automatically grading learners’ English using a Gaussian process
RC van Dalen, K Knill, M Gales
ISCA, 2015
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
Extended VTS for Noise-Robust Speech Recognition
RC van Dalen, MJF Gales
IEEE Transactions on Audio Speech and Language Processing 19 (4), 733, 2011
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
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
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
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
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
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
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
Covariance modelling for noise-robust speech recognition.
RC van Dalen, MJF Gales
Interspeech, 2000-2003, 2008
Transforming features to compensate speech recogniser models for noise.
RC van Dalen, F Flego, MJF Gales
INTERSPEECH, 2499-2502, 2009
Statistical Models for Noise-Robust Speech Recognition
RC van Dalen
Asymptotically exact noise-corrupted speech likelihoods.
RC van Dalen, MJF Gales
INTERSPEECH, 709-712, 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
Efficient decoding with continuous rational kernels using the expectation semiring
RC van Dalen, A Ragni, MJF Gales
University of Cambridge, Department of Engineering, 2012
Lexical stress in continuous speech recognition.
RC van Dalen, P Wiggers, LJM Rothkrantz
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
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