Rogier C. van Dalen

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 17

Top Topics

Support Vector Machine

Native Speakers

Feature Extractors

Speech Recognition

Top Venues

Publications

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 (2024)
Shucong Zhang, Malcolm Chadwick, Alberto Gil C. P. Ramos, Titouan Parcollet, Rogier C. van Dalen, Sourav Bhattacharya
Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations. INTERSPEECH (2023)
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)
Titouan Parcollet, Shucong Zhang, Rogier C. 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)
Eugene Bagdasaryan, Congzheng Song, Rogier C. van Dalen, Matt Seigel, Áine Cahill
Training a Tokenizer for Free with Private Federated Learning. CoRR (2022)
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 (2022)
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 (2021)
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 (2021)
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)
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 (2020)
Yu Wang, M. 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 (2018)
Andrey Malinin, Rogier C. van Dalen, Kate Knill, Yu Wang, Mark J. F. Gales
Off-topic Response Detection for Spontaneous Spoken English Assessment. ACL (1) (2016)
Diane J. Litman, Steve J. Young, Mark J. F. Gales, Kate 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)
Rogier C. van Dalen, Kate M. Knill, Mark J. F. Gales
Automatically grading learners' English using a Gaussian process. SLaTE (2015)
Rogier C. van Dalen, Mark J. F. Gales
Annotating large lattices with the exact word error. INTERSPEECH (2015)
Rogier C. van Dalen, Kate M. Knill, Pirros Tsiakoulis, Mark J. F. Gales
Improving multiple-crowd-sourced transcriptions using a speech recogniser. ICASSP (2015)
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)
Jingzhou Yang, Rogier C. van Dalen, Shi-Xiong Zhang, Mark J. F. Gales
Infinite structured support vector machines for speech recognition. ICASSP (2014)
Rogier C. van Dalen, Mark John Francis Gales
Importance sampling to compute likelihoods of noise-corrupted speech. Comput. Speech Lang. 27 (1) (2013)
Rogier C. van Dalen, Anton Ragni, Mark J. F. Gales
Efficient decoding with generative score-spaces using the expectation semiring. ICASSP (2013)
Jingzhou Yang, Rogier C. van Dalen, M. J. F. Gales
Infinite support vector machines in speech recognition. INTERSPEECH (2013)
Mark J. F. Gales, Anton Ragni, Austin Zhang, Rogier C. van Dalen
Structured discriminative models for speech recognition. MLSLP (2012)
Rogier C. van Dalen, Mark J. F. Gales
Extended VTS for Noise-Robust Speech Recognition. IEEE Trans. Speech Audio Process. 19 (4) (2011)
Rogier C. van Dalen, M. J. F. Gales
A variational perspective on noise-robust speech recognition. ASRU (2011)
Rogier C. van Dalen, Mark J. F. Gales
Asymptotically exact noise-corrupted speech likelihoods. INTERSPEECH (2010)
Chris Longworth, Rogier C. van Dalen, Mark J. F. Gales
Variational dynamic kernels for speaker verification. INTERSPEECH (2009)
Rogier C. van Dalen, Mark J. F. Gales
Extended VTS for noise-robust speech recognition. ICASSP (2009)
Rogier C. van Dalen, Federico Flego, Mark J. F. Gales
Transforming features to compensate speech recogniser models for noise. INTERSPEECH (2009)
Rogier C. van Dalen, Mark J. F. Gales
Covariance modelling for noise-robust speech recognition. INTERSPEECH (2008)
Mark J. F. Gales, Rogier C. van Dalen
Predictive linear transforms for noise robust speech recognition. ASRU (2007)
Rogier C. van Dalen, Pascal Wiggers, Léon J. M. Rothkrantz
Lexical stress in continuous speech recognition. INTERSPEECH (2006)
Rogier C. van Dalen, Pascal Wiggers, Léon J. M. Rothkrantz
Modelling Lexical Stress. TSD (2005)