Modelling Lexical Stress. - Rogier C. van Dalen; Pascal Wiggers; Léon J. M. Rothkrantz (TSD, 2005)

Lexical stress in continuous speech recognition. - Rogier C. van Dalen; Pascal Wiggers; Léon J. M. Rothkrantz (INTERSPEECH, 2006)

Predictive linear transforms for noise robust speech recognition. - Mark J. F. Gales; Rogier C. van Dalen (ASRU, 2007)

Covariance modelling for noise-robust speech recognition. - Rogier C. van Dalen; Mark J. F. Gales (INTERSPEECH, 2008)

Transforming features to compensate speech recogniser models for noise. - Rogier C. van Dalen; Federico Flego; Mark J. F. Gales (INTERSPEECH, 2009)

Variational dynamic kernels for speaker verification. - Chris Longworth; Rogier C. van Dalen; Mark J. F. Gales (INTERSPEECH, 2009)

Asymptotically exact noise-corrupted speech likelihoods. - Rogier C. van Dalen; Mark J. F. Gales (INTERSPEECH, 2010)

A variational perspective on noise-robust speech recognition. - Rogier C. van Dalen; Mark J. F. Gales (ASRU, 2011)

Extended VTS for Noise-Robust Speech Recognition. - Rogier C. van Dalen; Mark J. F. Gales (IEEE Trans. Speech Audio Process., 2011)

Structured discriminative models for speech recognition. - Mark J. F. Gales; Anton Ragni; Austin Zhang; Rogier C. van Dalen (MLSLP, 2012)

Efficient decoding with generative score-spaces using the expectation semiring. - Rogier C. van Dalen; Anton Ragni; Mark J. F. Gales (ICASSP, 2013)

Infinite support vector machines in speech recognition. - Jingzhou Yang; Rogier C. van Dalen; Mark J. F. Gales (INTERSPEECH, 2013)

Importance sampling to compute likelihoods of noise-corrupted speech. - Rogier C. van Dalen; Mark John Francis Gales (Comput. Speech Lang., 2013)

Infinite structured support vector machines for speech recognition. - Jingzhou Yang; Rogier C. van Dalen; Shi-Xiong Zhang 001; Mark J. F. Gales (ICASSP, 2014)

Structured discriminative models using deep neural-network features. - Rogier C. van Dalen; Jingzhou Yang; Haipeng Wang; Anton Ragni; Chao Zhang 031; Mark J. F. Gales (ASRU, 2015)

Improving multiple-crowd-sourced transcriptions using a speech recogniser. - Rogier C. van Dalen; Kate M. Knill; Pirros Tsiakoulis; Mark J. F. Gales (ICASSP, 2015)

Annotating large lattices with the exact word error. - Rogier C. van Dalen; Mark J. F. Gales (INTERSPEECH, 2015)

Automatically grading learners' English using a Gaussian process. - Rogier C. van Dalen; Kate M. Knill; Mark J. F. Gales (SLaTE, 2015)

Off-topic Response Detection for Spontaneous Spoken English Assessment. - Andrey Malinin; Rogier C. van Dalen; Kate M. Knill; Yu Wang 027; Mark J. F. Gales (ACL (1), 2016)

Towards Using Conversations with Spoken Dialogue Systems in the Automated Assessment of Non-Native Speakers of English. - Diane J. Litman; Steve J. Young; Mark J. F. Gales; Kate M. Knill; Karen Ottewell; Rogier C. van Dalen; David Vandyke (SIGDIAL Conference, 2016)

Towards automatic assessment of spontaneous spoken English. - Yu Wang 027; Mark J. F. Gales; Kate M. Knill; Konstantinos Kyriakopoulos; Andrey Malinin; Rogier C. van Dalen; M. Rashid (Speech Commun., 2018)

Improving On-Device Speaker Verification Using Federated Learning with Privacy. - Filip Granqvist; Matt Seigel; Rogier C. van Dalen; Áine Cahill; Stephen Shum; Matthias Paulik (INTERSPEECH, 2020)

Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications. - 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; et al. (CoRR, 2021)

Enforcing fairness in private federated learning via the modified method of differential multipliers. - Borja Rodríguez Gálvez; Filip Granqvist; Rogier C. van Dalen; Matt Seigel (CoRR, 2021)

Training a Tokenizer for Free with Private Federated Learning. - Eugene Bagdasaryan; Congzheng Song; Rogier C. van Dalen; Matt Seigel; Áine Cahill (CoRR, 2022)

Training Large-Vocabulary Neural Language Models by Private Federated Learning for Resource-Constrained Devices. - 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; et al. (ICASSP, 2023)

On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning. - Titouan Parcollet; Shucong Zhang; Rogier van Dalen; Alberto Gil C. P. Ramos; Sourav Bhattacharya (INTERSPEECH, 2023)

Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations. - Shucong Zhang; Malcolm Chadwick; Alberto Gil C. P. Ramos; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (INTERSPEECH, 2023)

Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (CoRR, 2023)

Globally Normalising the Transducer for Streaming Speech Recognition. - Rogier C. van Dalen (CoRR, 2023)

SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (INTERSPEECH, 2024)

Linear-Complexity Self-Supervised Learning for Speech Processing. - Shucong Zhang; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (INTERSPEECH, 2024)

pfl-research: simulation framework for accelerating research in Private Federated Learning. - Filip Granqvist; Congzheng Song; Áine Cahill; Rogier C. van Dalen; Martin Pelikan; Yi Sheng Chan; Xiaojun Feng; Natarajan Krishnaswami; Vojta Jina; Mona Chitnis (NeurIPS, 2024)

DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. - Jie Xu; Karthikeyan Saravanan; Rogier van Dalen; Haaris Mehmood; David Tuckey; Mete Ozay (CoRR, 2024)

Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Batthacharya (CoRR, 2024)

Globally Normalizing the Transducer for Streaming Speech Recognition. - Rogier C. van Dalen (ICASSP, 2025)

Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (ICASSP, 2025)

Benchmarking Rotary Position Embeddings for Automatic Speech Recognition. - Shucong Zhang; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (CoRR, 2025)

Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use. - Titouan Parcollet; Yuan Tseng; Shucong Zhang; Rogier van Dalen (CoRR, 2025)

Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition. - Yuan Tseng; Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (CoRR, 2025)

Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes. - Rogier C. van Dalen; Shucong Zhang; Titouan Parcollet; Sourav Bhattacharya (CoRR, 2025)