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ORCIDRogier C. van Dalen
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2020 – today
- 2024
[i7]Filip Granqvist, Congzheng Song, Áine Cahill, Rogier C. van Dalen, Martin Pelikan, Yi Sheng Chan, Xiaojun Feng, Natarajan Krishnaswami, Vojta Jina, Mona Chitnis:
pfl-research: simulation framework for accelerating research in Private Federated Learning. CoRR abs/2404.06430 (2024)- 2023
- [c21]Mingbin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier C. van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin:
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. ICASSP 2023: 1-5 - [i6]Rogier C. van Dalen:
Globally Normalising the Transducer for Streaming Speech Recognition. CoRR abs/2307.10975 (2023) - 2022
- [i5]Eugene Bagdasaryan, Congzheng Song, Rogier C. van Dalen, Matt Seigel, Áine Cahill:
Training a Tokenizer for Free with Private Federated Learning. CoRR abs/2203.09943 (2022) - [i4]Mingbin Xu, Congzheng Song, Ye Tian, Neha Agrawal, Filip Granqvist, Rogier C. van Dalen, Xiao Zhang, Arturo Argueta, Shiyi Han, Yaqiao Deng, Leo Liu, Anmol Walia, Alex Jin:
Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. CoRR abs/2207.08988 (2022) - 2021
- [i3]Matthias Paulik, Matt Seigel, Henry Mason, Dominic Telaar, Joris Kluivers, Rogier C. van Dalen, Chi Wai Lau, Luke Carlson, Filip Granqvist, Chris Vandevelde, Sudeep Agarwal, Julien Freudiger, Andrew Byde, Abhishek Bhowmick, Gaurav Kapoor, Si Beaumont, Áine Cahill, Dominic Hughes, Omid Javidbakht, Fei Dong, Rehan Rishi, Stanley Hung:
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications. CoRR abs/2102.08503 (2021) - [i2]Borja Rodríguez Gálvez, Filip Granqvist, Rogier C. van Dalen, Matt Seigel:
Enforcing fairness in private federated learning via the modified method of differential multipliers. CoRR abs/2109.08604 (2021) - 2020
- [c20]Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik:
Improving On-Device Speaker Verification Using Federated Learning with Privacy. INTERSPEECH 2020: 4328-4332 - [i1]Filip Granqvist, Matt Seigel, Rogier C. van Dalen, Áine Cahill, Stephen Shum, Matthias Paulik:
Improving on-device speaker verification using federated learning with privacy. CoRR abs/2008.02651 (2020)
2010 – 2019
- 2018
- [j3]Yu Wang, Mark J. F. Gales, Kate M. Knill, Konstantinos Kyriakopoulos, Andrey Malinin, Rogier C. van Dalen, M. Rashid:
Towards automatic assessment of spontaneous spoken English. Speech Commun. 104: 47-56 (2018) - 2016
- [c19]Andrey Malinin, Rogier C. van Dalen, Kate M. Knill, Yu Wang, Mark J. F. Gales:
Off-topic Response Detection for Spontaneous Spoken English Assessment. ACL (1) 2016 - [c18]Diane J. Litman, Steve J. Young, Mark J. F. Gales, Kate M. Knill, Karen Ottewell, Rogier C. van Dalen, David Vandyke:
Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English. SIGDIAL Conference 2016: 270-275 - 2015
- [c17]Rogier C. van Dalen, Jingzhou Yang, Haipeng Wang, Anton Ragni, Chao Zhang, Mark J. F. Gales:
Structured discriminative models using deep neural-network features. ASRU 2015: 160-166 - [c16]Rogier C. van Dalen, Kate M. Knill, Pirros Tsiakoulis, Mark J. F. Gales:
Improving multiple-crowd-sourced transcriptions using a speech recogniser. ICASSP 2015: 4709-4713 - [c15]Rogier C. van Dalen, Mark J. F. Gales:
Annotating large lattices with the exact word error. INTERSPEECH 2015: 2625-2629 - [c14]Rogier C. van Dalen, Kate M. Knill, Mark J. F. Gales:
Automatically grading learners' English using a Gaussian process. SLaTE 2015: 7-12 - 2014
- [c13]Jingzhou Yang, Rogier C. van Dalen, Shi-Xiong Zhang, Mark J. F. Gales:
Infinite structured support vector machines for speech recognition. ICASSP 2014: 3320-3324 - 2013
- [j2]Rogier C. van Dalen, Mark John Francis Gales:
Importance sampling to compute likelihoods of noise-corrupted speech. Comput. Speech Lang. 27(1): 322-349 (2013) - [c12]Rogier C. van Dalen, Anton Ragni, Mark J. F. Gales:
Efficient decoding with generative score-spaces using the expectation semiring. ICASSP 2013: 7619-7623 - [c11]Jingzhou Yang, Rogier C. van Dalen, Mark J. F. Gales:
Infinite support vector machines in speech recognition. INTERSPEECH 2013: 3303-3307 - 2012
- [c10]Mark J. F. Gales, Anton Ragni, Austin Zhang, Rogier C. van Dalen:
Structured discriminative models for speech recognition. MLSLP 2012 - 2011
- [j1]Rogier C. van Dalen, Mark J. F. Gales:
Extended VTS for Noise-Robust Speech Recognition. IEEE Trans. Speech Audio Process. 19(4): 733-743 (2011) - [c9]Rogier C. van Dalen, Mark J. F. Gales:
A variational perspective on noise-robust speech recognition. ASRU 2011: 125-130 - 2010
- [c8]Rogier C. van Dalen, Mark J. F. Gales:
Asymptotically exact noise-corrupted speech likelihoods. INTERSPEECH 2010: 709-712
2000 – 2009
- 2009
- [c7]Rogier C. van Dalen, Mark J. F. Gales:
Extended VTS for noise-robust speech recognition. ICASSP 2009: 3829-3832 - [c6]Chris Longworth, Rogier C. van Dalen, Mark J. F. Gales:
Variational dynamic kernels for speaker verification. INTERSPEECH 2009: 1571-1574 - [c5]Rogier C. van Dalen, Federico Flego, Mark J. F. Gales:
Transforming features to compensate speech recogniser models for noise. INTERSPEECH 2009: 2499-2502 - 2008
- [c4]Rogier C. van Dalen, Mark J. F. Gales:
Covariance modelling for noise-robust speech recognition. INTERSPEECH 2008: 2000-2003 - 2007
- [c3]Mark J. F. Gales, Rogier C. van Dalen:
Predictive linear transforms for noise robust speech recognition. ASRU 2007: 59-64 - 2006
- [c2]Rogier C. van Dalen, Pascal Wiggers, Léon J. M. Rothkrantz:
Lexical stress in continuous speech recognition. INTERSPEECH 2006 - 2005
- [c1]Rogier C. van Dalen, Pascal Wiggers, Léon J. M. Rothkrantz:
Modelling Lexical Stress. TSD 2005: 211-218
Coauthor Index
aka: Mark John Francis Gales
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