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ORCIDRogier C. van Dalen
Person information
- affiliation: Samsung AI Center, Cambridge, UK
- affiliation (PhD 2011): University of Cambridge, Department of Engineering, Cambridge, UK
- affiliation (former): Delft University of Technology, Faculty of Electrical Engineering, Mathematics, and Computer Science, Delft, The Netherlands
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2020 – today
- 2025
[c28]Rogier C. van Dalen:
Globally Normalizing the Transducer for Streaming Speech Recognition. ICASSP 2025: 1-5- [c27]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Bhattacharya:
Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. ICASSP 2025: 1-5 - [i15]Shucong Zhang, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Benchmarking Rotary Position Embeddings for Automatic Speech Recognition. CoRR abs/2501.06051 (2025) - [i14]Titouan Parcollet, Yuan Tseng, Shucong Zhang, Rogier van Dalen:
Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use. CoRR abs/2505.21578 (2025) - [i13]Yuan Tseng, Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Bhattacharya:
Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition. CoRR abs/2505.22251 (2025) - [i12]Rogier C. van Dalen, Shucong Zhang, Titouan Parcollet, Sourav Bhattacharya:
Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes. CoRR abs/2506.10653 (2025) - 2024
- [c26]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Bhattacharya:
SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding. INTERSPEECH 2024 - [c25]Shucong Zhang, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Linear-Complexity Self-Supervised Learning for Speech Processing. INTERSPEECH 2024 - [c24]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. NeurIPS 2024 - [i11]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) - [i10]Jie Xu, Karthikeyan Saravanan, Rogier van Dalen, Haaris Mehmood, David Tuckey, Mete Ozay:
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. CoRR abs/2405.06368 (2024) - [i9]Shucong Zhang, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Linear-Complexity Self-Supervised Learning for Speech Processing. CoRR abs/2407.13377 (2024) - [i8]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Batthacharya:
Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. CoRR abs/2409.07165 (2024) - 2023
- [c23]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 - [c22]Titouan Parcollet, Shucong Zhang, Rogier van Dalen, Alberto Gil C. P. Ramos, Sourav Bhattacharya:
On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning. INTERSPEECH 2023: 581-585 - [c21]Shucong Zhang, Malcolm Chadwick, Alberto Gil C. P. Ramos, Titouan Parcollet, Rogier van Dalen, Sourav Bhattacharya:
Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations. INTERSPEECH 2023: 804-808 - [i7]Titouan Parcollet, Rogier van Dalen, Shucong Zhang, Sourav Bhattacharya:
Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition. CoRR abs/2307.07421 (2023) - [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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last updated on 2025-10-28 23:16 CET by the dblp team
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