Jon Barker

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 75

Top Venues

Publications

Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV (2024)
Robert Sutherland, George Close, Thomas Hain, Stefan Goetze, Jon Barker
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement. CoRR (2024)
Rhiannon Mogridge, George Close, Robert Sutherland, Thomas Hain, Jon Barker, Stefan Goetze, Anton Ragni
Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users using Intermediate ASR Features and Human Memory Models. CoRR (2024)
Jon Barker, Michael A. Akeroyd, Will Bailey, Trevor J. Cox, John F. Culling, Jennifer Firth, Simone Graetzer, Graham Naylor
The 2nd Clarity Prediction Challenge: A Machine Learning Challenge for Hearing Aid Intelligibility Prediction. ICASSP (2024)
Rhiannon Mogridge, George Close, Robert Sutherland, Thomas Hain, Jon Barker, Stefan Goetze, Anton Ragni
Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users Using Intermediate ASR Features and Human Memory Models. ICASSP (2024)
Gerardo Roa Dabike, Scott Bannister, Jennifer Firth, Simone Graetzer, Rebecca Vos, Michael A. Akeroyd, Jon Barker, Trevor J. Cox, Bruno Fazenda, Alinka Greasley, William M. Whitmer
The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss. CoRR (2023)
Michael A. Akeroyd, Will Bailey, Jon Barker, Trevor J. Cox, John F. Culling, Simone Graetzer, Graham Naylor, Zuzanna Podwinska, Zehai Tu
The 2nd Clarity Enhancement Challenge for Hearing Aid Speech Intelligibility Enhancement: Overview and Outcomes. ICASSP (2023)
Gerardo Roa Dabike, Michael A. Akeroyd, Scott Bannister, Jon Barker, Trevor J. Cox, Bruno Fazenda, Jennifer Firth, Simone Graetzer, Alinka Greasley, Rebecca Vos, William M. Whitmer
The Cadenza ICASSP 2024 Grand Challenge. CoRR (2023)
Gerardo Roa Dabike, Scott Bannister, Jennifer Firth, Simone Graetzer, Rebecca Vos, Michael A. Akeroyd, Jon Barker, Trevor J. Cox, Bruno Fazenda, Alinka Greasley, William M. Whitmer
The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss. HCMIR@ISMIR (2023)
Zehai Tu, Ning Ma, Jon Barker
Intelligibility prediction with a pretrained noise-robust automatic speech recognition model. CoRR (2023)
Trevor J. Cox, Jon Barker, Will Bailey, Simone Graetzer, Michael A. Akeroyd, John F. Culling, Graham Naylor
Overview Of The 2023 Icassp Sp Clarity Challenge: Speech Enhancement For Hearing Aids. CoRR (2023)
Trevor J. Cox, Jon Barker, Will Bailey, Simone Graetzer, Michael A. Akeroyd, John F. Culling, Graham Naylor
Overview of the 2023 ICASSP SP Clarity Challenge: Speech Enhancement for Hearing Aids. ICASSP (2023)
Zehai Tu, Jack Deadman, Ning Ma, Jon Barker
Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition. CoRR (2022)
Zehai Tu, Ning Ma, Jon Barker
Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. INTERSPEECH (2022)
Jack Deadman, Jon Barker
Improved Simulation of Realistically-Spatialised Simultaneous Speech Using Multi-Camera Analysis in The Chime-5 Dataset. ICASSP (2022)
Zhengjun Yue, Erfan Loweimi, Zoran Cvetkovic, Heidi Christensen, Jon Barker
Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition. ICASSP (2022)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training. INTERSPEECH (2022)
Jack Deadman, Jon Barker
Modelling Turn-taking in Multispeaker Parties for Realistic Data Simulation. INTERSPEECH (2022)
Zhengjun Yue, Erfan Loweimi, Heidi Christensen, Jon Barker, Zoran Cvetkovic
Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
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 Muñoz
The 1st Clarity Prediction Challenge: A machine learning challenge for hearing aid intelligibility prediction. INTERSPEECH (2022)
Zehai Tu, Ning Ma, Jon Barker
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. CoRR (2022)
Zehai Tu, Ning Ma, Jon Barker
Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. INTERSPEECH (2022)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training. CoRR (2022)
Zhengjun Yue, Erfan Loweimi, Heidi Christensen, Jon Barker, Zoran Cvetkovic
Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs. INTERSPEECH (2022)
Zehai Tu, Jack Deadman, Ning Ma, Jon Barker
Auditory-Based Data Augmentation for end-to-end Automatic Speech Recognition. ICASSP (2022)
Emma Barker, Jon Barker, Robert J. Gaizauskas, Ning Ma, Monica Lestari Paramita
SNuC: The Sheffield Numbers Spoken Language Corpus. LREC (2022)
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR (2022)
Zehai Tu, Ning Ma, Jon Barker
Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. CoRR (2022)
Zehai Tu, Ning Ma, Jon Barker
DHASP: Differentiable Hearing Aid Speech Processing. ICASSP (2021)
Zehai Tu, Ning Ma, Jon Barker
DHASP: Differentiable Hearing Aid Speech Processing. CoRR (2021)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism. ICASSP (2021)
Zehai Tu, Ning Ma, Jon Barker
Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. CoRR (2021)
Zehai Tu, Ning Ma, Jon Barker
Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. Interspeech (2021)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation. CoRR (2021)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation. Interspeech (2021)
Gerardo Roa Dabike, Jon Barker
The use of Voice Source Features for Sung Speech Recognition. ICASSP (2021)
Gerardo Roa Dabike, Jon Barker
The Use of Voice Source Features for Sung Speech Recognition. CoRR (2021)
Zhengjun Yue, Jon Barker, Heidi Christensen, Cristina McKean, Elaine Ashton, Yvonne Wren, Swapnil Gadgil, Rebecca Bright
Parental Spoken Scaffolding and Narrative Skills in Crowd-Sourced Storytelling Samples of Young Children. Interspeech (2021)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism. CoRR (2021)
Simone Graetzer, Jon Barker, Trevor J. Cox, Michael Akeroyd, John F. Culling, Graham Naylor, Eszter Porter, Rhoddy Viveros Muñoz
Clarity-2021 Challenges: Machine Learning Challenges for Advancing Hearing Aid Processing. Interspeech (2021)
Feifei Xiong, Jon Barker, Zhengjun Yue, Heidi Christensen
Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition. ICASSP (2020)
Shinji Watanabe, Michael I. Mandel, Jon Barker, Emmanuel Vincent
CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings. CoRR (2020)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. ICASSP (2020)
Zhengjun Yue, Feifei Xiong, Heidi Christensen, Jon Barker
Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition. ICASSP (2020)
Zhengjun Yue, Heidi Christensen, Jon Barker
Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition. INTERSPEECH (2020)
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker
On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments. CoRR (2020)
Jack Deadman, Jon Barker
Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset. INTERSPEECH (2020)
Feifei Xiong, Jon Barker, Heidi Christensen
Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition. ICASSP (2019)
Gerardo Roa Dabike, Jon Barker
Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System. INTERSPEECH (2019)
Erfan Loweimi, Jon Barker, Thomas Hain
On the Usefulness of the Speech Phase Spectrum for Pitch Extraction. INTERSPEECH (2018)
Mandar Gogate, Ahsan Adeel, Ricard Marxer, Jon Barker, Amir Hussain
DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. CoRR (2018)
Mandar Gogate, Ahsan Adeel, Ricard Marxer, Jon Barker, Amir Hussain
DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. INTERSPEECH (2018)
Jon Barker, Shinji Watanabe, Emmanuel Vincent, Jan Trmal
The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines. INTERSPEECH (2018)
Ricard Marxer, Jon Barker, Najwa Alghamdi, Steve Maddock
The impact of the Lombard effect on audio and visual speech recognition systems. Speech Commun. 100 (2018)
Erfan Loweimi, Jon Barker, Thomas Hain
Exploring the Use of Group Delay for Generalised VTS Based Noise Compensation. ICASSP (2018)
Feifei Xiong, Jon Barker, Heidi Christensen
Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition. ITG Symposium on Speech Communication (2018)
Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas
Malware Detection by Eating a Whole EXE. AAAI Workshops (2018)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
SDC-Net: Video Prediction Using Spatially-Displaced Convolution. ECCV (7) (2018)
Jon Barker, Shinji Watanabe, Emmanuel Vincent, Jan Trmal
The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines. CoRR (2018)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
SDCNet: Video Prediction Using Spatially-Displaced Convolution. CoRR (2018)
José A. González, Angel Manuel Gomez Garcia, Antonio M. Peinado, Ning Ma, Jon Barker
Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition. Circuits Syst. Signal Process. 36 (9) (2017)
Ricard Marxer, Jon Barker
Binary Mask Estimation Strategies for Constrained Imputation-Based Speech Enhancement. INTERSPEECH (2017)
Jon Barker, Ricard Marxer, Emmanuel Vincent, Shinji Watanabe
Multi-microphone speech recognition in everyday environments. Comput. Speech Lang. 46 (2017)
Edward Raff, Jon Barker, Jared Sylvester, Robert Brandon, Bryan Catanzaro, Charles K. Nicholas
Malware Detection by Eating a Whole EXE. CoRR (2017)
Najwa Alghamdi, Steve Maddock, Jon Barker, Guy J. Brown
The impact of automatic exaggeration of the visual articulatory features of a talker on the intelligibility of spectrally distorted speech. Speech Commun. 95 (2017)
Erfan Loweimi, Jon Barker, Thomas Hain
Statistical normalisation of phase-based feature representation for robust speech recognition. ICASSP (2017)
Erfan Loweimi, Jon Barker, Thomas Hain
Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR. INTERSPEECH (2017)
Jon Barker, Ricard Marxer, Emmanuel Vincent, Shinji Watanabe
The third 'CHiME' speech separation and recognition challenge: Analysis and outcomes. Comput. Speech Lang. 46 (2017)
Emmanuel Vincent, Shinji Watanabe, Aditya Arie Nugraha, Jon Barker, Ricard Marxer
An analysis of environment, microphone and data simulation mismatches in robust speech recognition. Comput. Speech Lang. 46 (2017)
Erfan Loweimi, Jon Barker, Oscar Saz-Torralba, Thomas Hain
Robust Source-Filter Separation of Speech Signal in the Phase Domain. INTERSPEECH (2017)
Michael I. Mandel, Jon Barker
Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions. INTERSPEECH (2016)
Máté Attila Tóth, Martin Cooke, Jon Barker
Misperceptions Arising from Speech-in-Babble Interactions. INTERSPEECH (2016)
María Luisa García Lecumberri, Jon Barker, Ricard Marxer, Martin Cooke
Language Effects in Noise-Induced Word Misperceptions. INTERSPEECH (2016)
Erfan Loweimi, Jon Barker, Thomas Hain
Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition. INTERSPEECH (2016)
Andrew Abel, Ricard Marxer, Jon Barker, Roger Watt, Bill Whitmer, Peter Derleth, Amir Hussain
A Data Driven Approach to Audiovisual Speech Mapping. BICS (2016)
Erfan Loweimi, Mortaza Doulaty, Jon Barker, Thomas Hain
Long-Term Statistical Feature Extraction from Speech Signal and Its Application in Emotion Recognition. SLSP (2015)
Najwa Alghamdi, Steve Maddock, Guy J. Brown, Jon Barker
Investigating the impact of artificial enhancement of lip visibility on the intelligibility of spectrally-distorted speech. AVSP (2015)
Ricard Marxer, Martin Cooke, Jon Barker
A framework for the evaluation of microscopic intelligibility models. INTERSPEECH (2015)
Peter Foster, Siddharth Sigtia, Sacha Krstulovic, Jon Barker, Mark D. Plumbley
Chime-home: A dataset for sound source recognition in a domestic environment. WASPAA (2015)
Najwa Alghamdi, Steve Maddock, Guy J. Brown, Jon Barker
A comparison of audiovisual and auditory-only training on the perception of spectrally-distorted speech. ICPhS (2015)
Erfan Loweimi, Jon Barker, Thomas Hain
Source-filter separation of speech signal in the phase domain. INTERSPEECH (2015)
Ning Ma, Ricard Marxer, Jon Barker, Guy J. Brown
Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition. ASRU (2015)
Jon Barker, Ricard Marxer, Emmanuel Vincent, Shinji Watanabe
The third 'CHiME' speech separation and recognition challenge: Dataset, task and baselines. ASRU (2015)
Maryam Al Dabel, Jon Barker
On the role of discriminative intelligibility model for speech intelligibility enhancement. ICPhS (2015)
Lin Lin, Jon Barker, Guy J. Brown
The effect of cochlear implant processing on speaker intelligibility: a perceptual study and computer model. INTERSPEECH (2015)
Maryam Al Dabel, Jon Barker
Speech pre-enhancement using a discriminative microscopic intelligibility model. INTERSPEECH (2014)
José A. González, Antonio M. Peinado, Ning Ma, Angel M. Gomez, Jon Barker
MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition. IEEE Trans. Speech Audio Process. 21 (3) (2013)
Jon Barker, Emmanuel Vincent, Ning Ma, Heidi Christensen, Phil D. Green
The PASCAL CHiME speech separation and recognition challenge. Comput. Speech Lang. 27 (3) (2013)
Jon Barker, Emmanuel Vincent
Special issue on speech separation and recognition in multisource environments. Comput. Speech Lang. 27 (3) (2013)
Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green
A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources. Comput. Speech Lang. 27 (3) (2013)
Emmanuel Vincent, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Francesco Nesta, Marco Matassoni
The second 'chime' speech separation and recognition challenge: Datasets, tasks and baselines. ICASSP (2013)
Emmanuel Vincent, Jon Barker, Shinji Watanabe, Jonathan Le Roux, Francesco Nesta, Marco Matassoni
The second 'CHiME' speech separation and recognition challenge: An overview of challenge systems and outcomes. ASRU (2013)
José L. Carmona, Jon Barker, Angel M. Gomez, Ning Ma
Speech Spectral Envelope Enhancement by HMM-Based Analysis/Resynthesis. IEEE Signal Process. Lett. 20 (6) (2013)
Ning Ma, Jon Barker
Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition. INTERSPEECH (2012)
Brian Barber, Jon Barker
Indication of slowly moving ground targets in non-Gaussian clutter using multi-channel synthetic aperture radar. IET Signal Process. 6 (5) (2012)
Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green
Combining Speech Fragment Decoding and Adaptive Noise Floor Modeling. IEEE Trans. Speech Audio Process. 20 (3) (2012)
José Andrés González López, Antonio Miguel Peinado Herreros, Angel Manuel Gomez Garcia, Ning Ma, Jon Barker
Combining missing-data reconstruction and uncertainty decoding for robust speech recognition. ICASSP (2012)
Martin Cooke, Jon Barker, María Luisa García Lecumberri, Krzysztof Wasilewski
Crowdsourcing for Word Recognition in Noise. INTERSPEECH (2011)
Ning Ma, Jon Barker, Heidi Christensen, Phil D. Green
Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments. INTERSPEECH (2011)
Juan Andres Morales-Cordovilla, Ning Ma, Victoria E. Sánchez, José L. Carmona, Antonio M. Peinado, Jon Barker
A pitch based noise estimation technique for robust speech recognition with Missing Data. ICASSP (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jon Barker