| 2024 | ICASSP | The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction. | Jon Barker, Michael A. Akeroyd, Will Bailey, Trevor J. Cox, John F. Culling, Jennifer Firth, Simone Graetzer, Graham Naylor |
| 2024 | ICASSP | The ICASSP SP Cadenza Challenge: Music Demixing/Remixing for Hearing Aids. | Gerardo Roa Dabike, Michael A. Akeroyd, Scott Bannister, Jon Barker, Trevor J. Cox, Bruno Fazenda, Jennifer Firth, Simone Graetzer, Alinka Greasley, Rebecca R. Vos, William M. Whitmer |
| 2024 | ICASSP | Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models. | Rhiannon Mogridge, George Close, Robert Sutherland, Thomas Hain, Jon Barker, Stefan Goetze, Anton Ragni |
| 2024 | WACV | Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. | Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava |
| 2023 | ICASSP | The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes. | Michael A. Akeroyd, Will Bailey, Jon Barker, Trevor J. Cox, John F. Culling, Simone Graetzer, Graham Naylor, Zuzanna Podwinska, Zehai Tu |
| 2023 | ICASSP | Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids. | Trevor J. Cox, Jon Barker, Will Bailey, Simone Graetzer, Michael A. Akeroyd, John F. Culling, Graham Naylor |
| 2022 | ICASSP | Improved Simulation of Realistically-Spatialised Simultaneous Speech Using Multi-Camera Analysis in The Chime-5 Dataset. | Jack Deadman, Jon Barker |
| 2022 | ICASSP | Auditory-Based Data Augmentation for end-to-end Automatic Speech Recognition. | Zehai Tu, Jack Deadman, Ning Ma, Jon Barker |
| 2022 | ICASSP | Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition. | Zhengjun Yue, Erfan Loweimi, Zoran Cvetkovic, Heidi Christensen, Jon Barker |
| 2022 | Interspeech | The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction. | Jon Barker, Michael Akeroyd, Trevor J. Cox, John F. Culling, Jennifer Firth, Simone Graetzer, Holly Griffiths, Lara Harris, Graham Naylor, Zuzanna Podwinska, Eszter Porter, Rhoddy Viveros Muoz |
| 2022 | Interspeech | Modelling Turn-taking in Multispeaker Parties for Realistic Data Simulation. | Jack Deadman, Jon Barker |
| 2022 | Interspeech | Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. | Zehai Tu, Ning Ma, Jon Barker |
| 2022 | Interspeech | Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. | Zehai Tu, Ning Ma, Jon Barker |
| 2022 | Interspeech | Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs. | Zhengjun Yue, Erfan Loweimi, Heidi Christensen, Jon Barker, Zoran Cvetkovic |
| 2022 | Interspeech | On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training. | Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker |
| 2022 | LREC | SNuC: The Sheffield Numbers Spoken Language Corpus. | Emma Barker, Jon Barker, Robert J. Gaizauskas, Ning Ma, Monica Lestari Paramita |
| 2021 | ICASSP | The use of Voice Source Features for Sung Speech Recognition. | Gerardo Roa Dabike, Jon Barker |
| 2021 | ICASSP | DHASP: Differentiable Hearing Aid Speech Processing. | Zehai Tu, Ning Ma, Jon Barker |
| 2021 | ICASSP | Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism. | Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker |
| 2021 | Interspeech | Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing. | Simone Graetzer, Jon Barker, Trevor J. Cox, Michael Akeroyd, John F. Culling, Graham Naylor, Eszter Porter, Rhoddy Viveros Muoz |
| 2021 | Interspeech | Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. | Zehai Tu, Ning Ma, Jon Barker |
| 2021 | Interspeech | Parental Spoken Scaffolding and Narrative Skills in Crowd-Sourced Storytelling Samples of Young Children. | Zhengjun Yue, Jon Barker, Heidi Christensen, Cristina McKean, Elaine Ashton, Yvonne Wren, Swapnil Gadgil, Rebecca Bright |
| 2021 | Interspeech | Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation. | Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker |
| 2020 | ICASSP | Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition. | Feifei Xiong, Jon Barker, Zhengjun Yue, Heidi Christensen |
| 2020 | ICASSP | Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition. | Zhengjun Yue, Feifei Xiong, Heidi Christensen, Jon Barker |
| 2020 | ICASSP | On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. | Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker |
| 2020 | Interspeech | Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset. | Jack Deadman, Jon Barker |
| 2020 | Interspeech | Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition. | Zhengjun Yue, Heidi Christensen, Jon Barker |
| 2019 | ICASSP | Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition. | Feifei Xiong, Jon Barker, Heidi Christensen |
| 2019 | Interspeech | Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System. | Gerardo Roa Dabike, Jon Barker |
| 2018 | AAAI | Malware Detection by Eating a Whole EXE. | Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas |
| 2018 | ECCV | SDC-Net: Video Prediction Using Spatially-Displaced Convolution. | Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro |
| 2018 | ICASSP | Exploring the Use of Group Delay for Generalised VTS Based Noise Compensation. | Erfan Loweimi, Jon Barker, Thomas Hain |
| 2018 | Interspeech | The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines. | Jon Barker, Shinji Watanabe, Emmanuel Vincent, Jan Trmal |
| 2018 | Interspeech | DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. | Mandar Gogate, Ahsan Adeel, Ricard Marxer, Jon Barker, Amir Hussain |
| 2018 | Interspeech | On the Usefulness of the Speech Phase Spectrum for Pitch Extraction. | Erfan Loweimi, Jon Barker, Thomas Hain |
| 2017 | ICASSP | Statistical normalisation of phase-based feature representation for robust speech recognition. | Erfan Loweimi, Jon Barker, Thomas Hain |
| 2017 | Interspeech | Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR. | Erfan Loweimi, Jon Barker, Thomas Hain |
| 2017 | Interspeech | Robust Source-Filter Separation of Speech Signal in the Phase Domain. | Erfan Loweimi, Jon Barker, Oscar Saz-Torralba, Thomas Hain |
| 2017 | Interspeech | Binary Mask Estimation Strategies for Constrained Imputation-Based Speech Enhancement. | Ricard Marxer, Jon Barker |
| 2016 | Interspeech | Language Effects in Noise-Induced Word Misperceptions. | Mara Luisa Garca Lecumberri, Jon Barker, Ricard Marxer, Martin Cooke |
| 2016 | Interspeech | Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition. | Erfan Loweimi, Jon Barker, Thomas Hain |
| 2016 | Interspeech | Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions. | Michael I. Mandel, Jon Barker |
| 2016 | Interspeech | Misperceptions Arising from Speech-in-Babble Interactions. | Mt Attila Tth, Martin Cooke, Jon Barker |
| 2015 | ASRU | The third 'CHiME' speech separation and recognition challenge: Dataset, task and baselines. | Jon Barker, Ricard Marxer, Emmanuel Vincent, Shinji Watanabe |
| 2015 | ASRU | Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition. | Ning Ma, Ricard Marxer, Jon Barker, Guy J. Brown |
| 2015 | Interspeech | The effect of cochlear implant processing on speaker intelligibility: a perceptual study and computer model. | Lin Lin, Jon Barker, Guy J. Brown |
| 2015 | Interspeech | Source-filter separation of speech signal in the phase domain. | Erfan Loweimi, Jon Barker, Thomas Hain |
| 2015 | Interspeech | A framework for the evaluation of microscopic intelligibility models. | Ricard Marxer, Martin Cooke, Jon Barker |
| 2014 | Interspeech | Speech pre-enhancement using a discriminative microscopic intelligibility model. | Maryam Al Dabel, Jon Barker |
| 2013 | ASRU | The second 'CHiME' speech separation and recognition challenge: An overview of challenge systems and outcomes. | Emmanuel Vincent, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Francesco Nesta, Marco Matassoni |
| 2013 | ICASSP | The second 'chime' speech separation and recognition challenge: Datasets, tasks and baselines. | Emmanuel Vincent, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Francesco Nesta, Marco Matassoni |
| 2012 | ICASSP | Combining missing-data reconstruction and uncertainty decoding for robust speech recognition. | Jos Andrs Gonzlez Lpez, Antonio Miguel Peinado Herreros, Angel Manuel Gomez Garcia, Ning Ma, Jon Barker |
| 2012 | Interspeech | Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition. | Ning Ma, Jon Barker |
| 2011 | ICASSP | A pitch based noise estimation technique for robust speech recognition with Missing Data. | Juan Andres Morales-Cordovilla, Ning Ma, Victoria E. Snchez, Jos L. Carmona, Antonio M. Peinado, Jon Barker |
| 2011 | Interspeech | Crowdsourcing for Word Recognition in Noise. | Martin Cooke, Jon Barker, Mara Luisa Garca Lecumberri, Krzysztof Wasilewski |
| 2011 | Interspeech | Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments. | Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green |
| 2010 | Interspeech | The CHiME corpus: a resource and a challenge for computational hearing in multisource environments. | Heidi Christensen, Jon Barker, Ning Ma, Phil D. Green |
| 2010 | Interspeech | Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding. | Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green |
| 2009 | ICASSP | A speech fragment approach to localising multiple speakers in reverberant environments. | Heidi Christensen, Ning Ma, Stuart N. Wrigley, Jon Barker |
| 2009 | Interspeech | Using location cues to track speaker changes from mobile, binaural microphones. | Heidi Christensen, Jon Barker |
| 2008 | ICMI | The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements. | Elise Arnaud, Heidi Christensen, Yan-Chen Lu, Jon Barker, Vasil Khalidov, Miles E. Hansard, Bertrand Holveck, Herv Mathieu, Ramya Narasimha, Elise Taillant, Florence Forbes, Radu Horaud |
| 2007 | Interspeech | Integrating pitch and localisation cues at a speech fragment level. | Heidi Christensen, Ning Ma, Stuart N. Wrigley, Jon Barker |
| 2007 | Interspeech | Applying word duration constraints by using unrolled HMMs. | Ning Ma, Jon Barker, Phil D. Green |
| 2006 | Interspeech | Recent advances in speech fragment decoding techniques. | Jon Barker, Andr Coy, Ning Ma, Martin Cooke |
| 2006 | Interspeech | A multipitch tracker for monaural speech segmentation. | Andr Coy, Jon Barker |
| 2006 | Interspeech | Audio-visual speech recognition in the presence of a competing speaker. | Xu Shao, Jon Barker |
| 2005 | ICASSP | Tracking Facial Markers with an Adaptive Marker Collocation Model. | Jon Barker |
| 2005 | ICASSP | Recognising Speech in the Presence of a Competing Speaker using a 'Speech Fragment Decoder'. | Andr Coy, Jon Barker |
| 2005 | ICASSP | Mask Estimation Based on Sound Localisation for Missing Data Speech Recognition. | Sue Harding, Jon Barker, Guy J. Brown |
| 2005 | Interspeech | Soft harmonic masks for recognising speech in the presence of a competing speaker. | Andr Coy, Jon Barker |
| 2001 | AISTATS | Handling Missing and Unreliable Information in Speech Recognition. | Phil D. Green, Jon Barker, Martin Cooke, Ljubomir Josifovski |
| 2001 | Interspeech | Robust ASR based on clean speech models: an evaluation of missing data techniques for connected digit recognition in noise. | Jon Barker, Martin Cooke, Phil D. Green |
| 2000 | Interspeech | Decoding speech in the presence of other sound sources. | Jon Barker, Martin Cooke, Daniel P. W. Ellis |
| 2000 | Interspeech | Soft decisions in missing data techniques for robust automatic speech recognition. | Jon Barker, Ljubomir Josifovski, Martin Cooke, Phil D. Green |
| 1998 | Interspeech | Acoustic confidence measures for segmenting broadcast news. | Jon Barker, Gethin Williams, Steve Renals |
| 1997 | Interspeech | Modelling the recognition of spectrally reduced speech. | Jon Barker, Martin Cooke |