Raw acoustic-articulatory multimodal dysarthric speech recognition - Zhengjun Yue; Erfan Loweimi; Zoran Cvetkovic; Jon Barker; Heidi Christensen (Comput. Speech Lang., 2026)

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge - Simon Leglaive; Matthieu Fraticelli; Hend Elghazaly; Léonie Borne; Mostafa Sadeghi; Scott Wisdom; Manuel Pariente; John R. Hershey; Daniel Pressnitzer; Jon P. Barker (Comput. Speech Lang., 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

Source Separation of Small Classical Ensembles: Challenges and Opportunities - Gerardo Roa Dabike; Trevor J. Cox; Jon P. Barker; Michael A. Akeroyd; Scott Bannister; Bruno Fazenda; Jennifer Firth; Simone Graetzer; Alinka Greasley; Rebecca R. Vos; William M. Whitmer (CoRR, 2025)

Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement - Robert Sutherland; George Close; Thomas Hain; Stefan Goetze; Jon Barker (32nd European Signal Processing Conference, EUSIPCO 2024, Lyon, France, August 26-30, 2024, 2024)

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 (IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 - Workshops, Seoul, Republic of Korea, April 14-19, 2024, 2024)

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 (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

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 (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

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 (IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2024, Waikoloa, HI, USA, January 3-8, 2024, 2024)

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 (CoRR, 2024)

Objective and subjective evaluation of speech enhancement methods in the UDASE task of the 7th CHiME challenge - Simon Leglaive; Matthieu Fraticelli; Hend Elghazaly; Léonie Borne; Mostafa Sadeghi; Scott Wisdom; Manuel Pariente; John R. Hershey; Daniel Pressnitzer; Jon P. Barker (CoRR, 2024)

Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement - Robert Sutherland; George Close; Thomas Hain; Stefan Goetze; Jon Barker (CoRR, 2024)

The first Cadenza challenges: using machine learning competitions to improve music for listeners with a hearing loss - Gerardo Roa Dabike; Michael A. Akeroyd; Scott Bannister; Jon P. Barker; Trevor J. Cox; Bruno Fazenda; Jennifer Firth; Simone Graetzer; Alinka Greasley; Rebecca R. Vos; William M. Whitmer (CoRR, 2024)

NVLM: Open Frontier-Class Multimodal LLMs - Wenliang Dai; Nayeon Lee; Boxin Wang; Zhuoling Yang; Zihan Liu; Jon Barker; Tuomas Rintamaki; Mohammad Shoeybi; Bryan Catanzaro; Wei Ping (CoRR, 2024)

PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation - Mike Ranzinger; Jon Barker; Greg Heinrich; Pavlo Molchanov; Bryan Catanzaro; Andrew Tao (CoRR, 2024)

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss - Gerardo Roa Dabike; Scott Bannister; Jennifer Firth; Simone Graetzer; Rebecca R. Vos; Michael A. Akeroyd; Jon Barker; Trevor J. Cox; Bruno Fazenda; Alinka Greasley; William M. Whitmer (Proceedings of the 2nd Workshop on Human-Centric Music Information Retrieval 2023 co-located with the 24th International Society for Music Information Retrieval Conference (ISMIR 2023), Milan, Italy, November 10, 2023, 2023)

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 (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

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 (IEEE International Conference on Acoustics, Speech and Signal Processing ICASSP 2023, Rhodes Island, Greece, June 4-10, 2023, 2023)

The Cadenza ICASSP 2024 Grand Challenge - 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 (CoRR, 2023)

The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss - Gerardo Roa Dabike; Scott Bannister; Jennifer Firth; Simone Graetzer; Rebecca R. Vos; Michael A. Akeroyd; Jon Barker; Trevor J. Cox; Bruno Fazenda; Alinka Greasley; William M. Whitmer (CoRR, 2023)

Intelligibility prediction with a pretrained noise-robust automatic speech recognition model - Zehai Tu; Ning Ma; Jon Barker (CoRR, 2023)

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 (CoRR, 2023)

Acoustic Modelling From Raw Source and Filter Components for Dysarthric Speech Recognition - Zhengjun Yue; Erfan Loweimi; Heidi Christensen; Jon Barker; Zoran Cvetkovic (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Improved Simulation of Realistically-Spatialised Simultaneous Speech Using Multi-Camera Analysis in The Chime-5 Dataset - Jack Deadman; Jon Barker (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition - Zhengjun Yue; Erfan Loweimi; Zoran Cvetkovic; Heidi Christensen; Jon Barker (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Auditory-Based Data Augmentation for end-to-end Automatic Speech Recognition - Zehai Tu; Jack Deadman; Ning Ma; Jon Barker (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022, 2022)

Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs - Zhengjun Yue; Erfan Loweimi; Heidi Christensen; Jon Barker; Zoran Cvetkovic (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

Modelling Turn-taking in Multispeaker Parties for Realistic Data Simulation - Jack Deadman; Jon Barker (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners - Zehai Tu; Ning Ma; Jon Barker (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction - Zehai Tu; Ning Ma; Jon Barker (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

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 Muñoz (23rd Annual Conference of the International Speech Communication Association, Interspeech 2022, Incheon, Korea, September 18-22, 2022, 2022)

SNuC: The Sheffield Numbers Spoken Language Corpus - Emma Barker; Jon Barker; Robert J. Gaizauskas; Ning Ma; Monica Lestari Paramita (Proceedings of the Thirteenth Language Resources and Evaluation Conference, LREC 2022, Marseille, France, 20-25 June 2022, 2022)

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (CoRR, 2022)

Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition - Zehai Tu; Jack Deadman; Ning Ma; Jon Barker (CoRR, 2022)

Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners - Zehai Tu; Ning Ma; Jon Barker (CoRR, 2022)

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction - Zehai Tu; Ning Ma; Jon Barker (CoRR, 2022)

On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (CoRR, 2022)

DHASP: Differentiable Hearing Aid Speech Processing - Zehai Tu; Ning Ma; Jon Barker (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

The use of Voice Source Features for Sung Speech Recognition - Gerardo Roa Dabike; Jon Barker (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2021, Toronto, ON, Canada, June 6-11, 2021, 2021)

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 Muñoz (22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021, 2021)

Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model - Zehai Tu; Ning Ma; Jon Barker (22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021, 2021)

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 (22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021, 2021)

Teacher-Student MixIT for Unsupervised and Semi-Supervised Speech Separation - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30 - September 3, 2021, 2021)

Time-Domain Speech Extraction with Spatial Information and Multi Speaker Conditioning Mechanism - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (CoRR, 2021)

The Use of Voice Source Features for Sung Speech Recognition - Gerardo Roa Dabike; Jon Barker (CoRR, 2021)

DHASP: Differentiable Hearing Aid Speech Processing - Zehai Tu; Ning Ma; Jon Barker (CoRR, 2021)

Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model - Zehai Tu; Ning Ma; Jon Barker (CoRR, 2021)

Teacher-Student MixIT for Unsupervised and Semi-supervised Speech Separation - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (CoRR, 2021)

Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition - Zhengjun Yue; Feifei Xiong; Heidi Christensen; Jon Barker (2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, 2020)

On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, 2020)

Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition - Feifei Xiong; Jon Barker; Zhengjun Yue; Heidi Christensen (2020 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2020, Barcelona, Spain, May 4-8, 2020, 2020)

Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset - Jack Deadman; Jon Barker (21st Annual Conference of the International Speech Communication Association, Interspeech 2020, Virtual Event, Shanghai, China, October 25-29, 2020, 2020)

Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition - Zhengjun Yue; Heidi Christensen; Jon Barker (21st Annual Conference of the International Speech Communication Association, Interspeech 2020, Virtual Event, Shanghai, China, October 25-29, 2020, 2020)

CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings - Shinji Watanabe; Michael I. Mandel; Jon Barker; Emmanuel Vincent (CoRR, 2020)

On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments - Jisi Zhang; Catalin Zorila; Rama Doddipatla; Jon Barker (CoRR, 2020)

Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition - Feifei Xiong; Jon Barker; Heidi Christensen (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2019, Brighton, United Kingdom, May 12-17, 2019, 2019)

Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System - Gerardo Roa Dabike; Jon Barker (20th Annual Conference of the International Speech Communication Association, Interspeech 2019, Graz, Austria, September 15-19, 2019, 2019)

The impact of the Lombard effect on audio and visual speech recognition systems - Ricard Marxer; Jon Barker; Najwa Alghamdi; Steve Maddock (Speech Commun., 2018)

Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition - Feifei Xiong; Jon Barker; Heidi Christensen (Proceedings of the 13th ITG Symposium on Speech Communication, Oldenburg, Germany, October 10-12, 2018, 2018)

Malware Detection by Eating a Whole EXE - Edward Raff; Jon Barker; Jared Sylvester; Robert Brandon; Bryan Catanzaro; Charles K. Nicholas (The Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

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 (Computer Vision - ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part VII, 2018)

Exploring the Use of Group Delay for Generalised VTS Based Noise Compensation - Erfan Loweimi; Jon Barker; Thomas Hain (2018 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2018, Calgary, AB, Canada, April 15-20, 2018, 2018)

On the Usefulness of the Speech Phase Spectrum for Pitch Extraction - Erfan Loweimi; Jon Barker; Thomas Hain (19th Annual Conference of the International Speech Communication Association, Interspeech 2018, Hyderabad, India, September 2-6, 2018, 2018)

The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines - Jon Barker; Shinji Watanabe; Emmanuel Vincent; Jan Trmal (19th Annual Conference of the International Speech Communication Association, Interspeech 2018, Hyderabad, India, September 2-6, 2018, 2018)

DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation - Mandar Gogate; Ahsan Adeel; Ricard Marxer; Jon Barker; Amir Hussain (19th Annual Conference of the International Speech Communication Association, Interspeech 2018, Hyderabad, India, September 2-6, 2018, 2018)

The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines - Jon Barker; Shinji Watanabe; Emmanuel Vincent; Jan Trmal (CoRR, 2018)

DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation - Mandar Gogate; Ahsan Adeel; Ricard Marxer; Jon Barker; Amir Hussain (CoRR, 2018)

SDCNet: Video Prediction Using Spatially-Displaced Convolution - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

Multi-microphone speech recognition in everyday environments - Jon Barker; Ricard Marxer; Emmanuel Vincent; Shinji Watanabe (Comput. Speech Lang., 2017)

An analysis of environment, microphone and data simulation mismatches in robust speech recognition - Emmanuel Vincent; Shinji Watanabe; Aditya Arie Nugraha; Jon Barker; Ricard Marxer (Comput. Speech Lang., 2017)

The third 'CHiME' speech separation and recognition challenge: Analysis and outcomes - Jon Barker; Ricard Marxer; Emmanuel Vincent; Shinji Watanabe (Comput. Speech Lang., 2017)

Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition - José A. González; Angel Manuel Gomez Garcia; Antonio M. Peinado; Ning Ma; Jon Barker (Circuits Syst. Signal Process., 2017)

The impact of automatic exaggeration of the visual articulatory features of a talker on the intelligibility of spectrally distorted speech - Najwa Alghamdi; Steve Maddock; Jon Barker; Guy J. Brown (Speech Commun., 2017)

Statistical normalisation of phase-based feature representation for robust speech recognition - Erfan Loweimi; Jon Barker; Thomas Hain (2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017, 2017)

Robust Source-Filter Separation of Speech Signal in the Phase Domain - Erfan Loweimi; Jon Barker; Oscar Saz-Torralba; Thomas Hain (18th Annual Conference of the International Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2017)

Binary Mask Estimation Strategies for Constrained Imputation-Based Speech Enhancement - Ricard Marxer; Jon Barker (18th Annual Conference of the International Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2017)

Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR - Erfan Loweimi; Jon Barker; Thomas Hain (18th Annual Conference of the International Speech Communication Association, Interspeech 2017, Stockholm, Sweden, August 20-24, 2017, 2017)

Multichannel Spatial Clustering Using Model-Based Source Separation - Michael I. Mandel; Jon P. Barker (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

The CHiME Challenges: Robust Speech Recognition in Everyday Environments - Jon P. Barker; Ricard Marxer; Emmanuel Vincent; Shinji Watanabe (New Era for Robust Speech Recognition, Exploiting Deep Learning, 2017)

Malware Detection by Eating a Whole EXE - Edward Raff; Jon Barker; Jared Sylvester; Robert Brandon; Bryan Catanzaro; Charles K. Nicholas (CoRR, 2017)

A Data Driven Approach to Audiovisual Speech Mapping - Andrew Abel; Ricard Marxer; Jon Barker; Roger Watt; Bill Whitmer; Peter Derleth; Amir Hussain (Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings, 2016)

Misperceptions Arising from Speech-in-Babble Interactions - Máté Attila Tóth; Martin Cooke; Jon Barker (17th Annual Conference of the International Speech Communication Association, Interspeech 2016, San Francisco, CA, USA, September 8-12, 2016, 2016)

Language Effects in Noise-Induced Word Misperceptions - María Luisa García Lecumberri; Jon Barker; Ricard Marxer; Martin Cooke (17th Annual Conference of the International Speech Communication Association, Interspeech 2016, San Francisco, CA, USA, September 8-12, 2016, 2016)

Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions - Michael I. Mandel; Jon Barker (17th Annual Conference of the International Speech Communication Association, Interspeech 2016, San Francisco, CA, USA, September 8-12, 2016, 2016)

Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition - Erfan Loweimi; Jon Barker; Thomas Hain (17th Annual Conference of the International Speech Communication Association, Interspeech 2016, San Francisco, CA, USA, September 8-12, 2016, 2016)

Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition - Ning Ma; Ricard Marxer; Jon Barker; Guy J. Brown (2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015, Scottsdale, AZ, USA, December 13-17, 2015, 2015)

The third 'CHiME' speech separation and recognition challenge: Dataset, task and baselines - Jon Barker; Ricard Marxer; Emmanuel Vincent; Shinji Watanabe (2015 IEEE Workshop on Automatic Speech Recognition and Understanding, ASRU 2015, Scottsdale, AZ, USA, December 13-17, 2015, 2015)

Investigating the impact of artificial enhancement of lip visibility on the intelligibility of spectrally-distorted speech - Najwa Alghamdi; Steve Maddock; Guy J. Brown; Jon Barker (Auditory-Visual Speech Processing, AVSP 2015, Vienna, Austria, September 11-13, 2015, 2015)

A comparison of audiovisual and auditory-only training on the perception of spectrally-distorted speech - Najwa Alghamdi; Steve Maddock; Guy J. Brown; Jon Barker (18th International Congress of Phonetic Sciences, ICPhS 2015, Glasgow, UK, August 10-14, 2015, 2015)

On the role of discriminative intelligibility model for speech intelligibility enhancement - Maryam Al Dabel; Jon Barker (18th International Congress of Phonetic Sciences, ICPhS 2015, Glasgow, UK, August 10-14, 2015, 2015)

Source-filter separation of speech signal in the phase domain - Erfan Loweimi; Jon Barker; Thomas Hain (16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015, Dresden, Germany, September 6-10, 2015, 2015)

The effect of cochlear implant processing on speaker intelligibility: a perceptual study and computer model - Lin Lin; Jon Barker; Guy J. Brown (16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015, Dresden, Germany, September 6-10, 2015, 2015)

A framework for the evaluation of microscopic intelligibility models - Ricard Marxer; Martin Cooke; Jon Barker (16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015, Dresden, Germany, September 6-10, 2015, 2015)

Long-Term Statistical Feature Extraction from Speech Signal and Its Application in Emotion Recognition - Erfan Loweimi; Mortaza Doulaty; Jon Barker; Thomas Hain (Statistical Language and Speech Processing - Third International Conference, SLSP 2015, Budapest, Hungary, November 24-26, 2015, Proceedings, 2015)

Chime-home: A dataset for sound source recognition in a domestic environment - Peter Foster; Siddharth Sigtia; Sacha Krstulovic; Jon Barker; Mark D. Plumbley (2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015, New Paltz, NY, USA, October 18-21, 2015, 2015)

Speech pre-enhancement using a discriminative microscopic intelligibility model - Maryam Al Dabel; Jon Barker (15th Annual Conference of the International Speech Communication Association, INTERSPEECH 2014, Singapore, September 14-18, 2014, 2014)

Special issue on speech separation and recognition in multisource environments - Jon Barker; Emmanuel Vincent (Comput. Speech Lang., 2013)

The PASCAL CHiME speech separation and recognition challenge - Jon Barker; Emmanuel Vincent; Ning Ma; Heidi Christensen; Phil D. Green (Comput. Speech Lang., 2013)

A hearing-inspired approach for distant-microphone speech recognition in the presence of multiple sources - Ning Ma; Jon Barker; Heidi Christensen; Phil D. Green (Comput. Speech Lang., 2013)

Speech Spectral Envelope Enhancement by HMM-Based Analysis/Resynthesis - José L. Carmona; Jon Barker; Angel M. Gomez; Ning Ma (IEEE Signal Process. Lett., 2013)

MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition - José A. González; Antonio M. Peinado; Ning Ma; Angel M. Gomez; Jon Barker (IEEE Trans. Speech Audio Process., 2013)

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 IEEE Workshop on Automatic Speech Recognition and Understanding, Olomouc, Czech Republic, December 8-12, 2013, 2013)

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 (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013, Vancouver, BC, Canada, May 26-31, 2013, 2013)

Indication of slowly moving ground targets in non-Gaussian clutter using multi-channel synthetic aperture radar - Brian Barber; Jon Barker (IET Signal Process., 2012)

Combining Speech Fragment Decoding and Adaptive Noise Floor Modeling - Ning Ma; Jon Barker; Heidi Christensen; Phil D. Green (IEEE Trans. Speech Audio Process., 2012)

Combining missing-data reconstruction and uncertainty decoding for robust speech recognition - José Andrés González López; Antonio Miguel Peinado Herreros; Angel Manuel Gomez Garcia; Ning Ma; Jon Barker (2012 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012, Kyoto, Japan, March 25-30, 2012, 2012)

Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition - Ning Ma; Jon Barker (13th Annual Conference of the International Speech Communication Association, INTERSPEECH 2012, Portland, Oregon, USA, September 9-13, 2012, 2012)

Missing-Data Techniques: Recognition with Incomplete Spectrograms - Jon Barker (Techniques for Noise Robustness in Automatic Speech Recognition, 2012)

A pitch based noise estimation technique for robust speech recognition with Missing Data - Juan Andres Morales-Cordovilla; Ning Ma; Victoria E. Sánchez; José L. Carmona; Antonio M. Peinado; Jon Barker (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic, 2011)

Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments - Ning Ma; Jon Barker; Heidi Christensen; Phil D. Green (12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011, Florence, Italy, August 27-31, 2011, 2011)

Crowdsourcing for Word Recognition in Noise - Martin Cooke; Jon Barker; María Luisa García Lecumberri; Krzysztof Wasilewski (12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011, Florence, Italy, August 27-31, 2011, 2011)

Speech fragment decoding techniques for simultaneous speaker identification and speech recognition - Jon Barker; Ning Ma; André Coy; Martin Cooke (Comput. Speech Lang., 2010)

Speaker turn tracking with mobile microphones: Combining location and pitch information - Heidi Christensen; Jon Barker (18th European Signal Processing Conference, EUSIPCO 2010, Aalborg, Denmark, August 23-27, 2010, 2010)

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 (ISCA Workshop on Statistical And Perceptual Audition, SAPA 2010, Makuhari, Japan, September 25, 2010, 2010)

The CHiME corpus: a resource and a challenge for computational hearing in multisource environments - Heidi Christensen; Jon Barker; Ning Ma; Phil D. Green (11th Annual Conference of the International Speech Communication Association, INTERSPEECH 2010, Makuhari, Chiba, Japan, September 26-30, 2010, 2010)

Energetic and Informational Masking Effects in an Audiovisual Speech Recognition System - Jon Barker; Xu Shao (IEEE Trans. Speech Audio Process., 2009)

A speech fragment approach to localising multiple speakers in reverberant environments - Heidi Christensen; Ning Ma; Stuart N. Wrigley; Jon Barker (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan, 2009)

Using location cues to track speaker changes from mobile, binaural microphones - Heidi Christensen; Jon Barker (10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009, Brighton, United Kingdom, September 6-10, 2009, 2009)

Stream weight estimation for multistream audio-visual speech recognition in a multispeaker environment - Xu Shao; Jon Barker (Speech Commun., 2008)

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; Hervé Mathieu; Ramya Narasimha; Elise Taillant; Florence Forbes; Radu Horaud (Proceedings of the 10th International Conference on Multimodal Interfaces, ICMI 2008, Chania, Crete, Greece, October 20-22, 2008, 2008)

An automatic speech recognition system based on the scene analysis account of auditory perception - André Coy; Jon Barker (Speech Commun., 2007)

Modelling speaker intelligibility in noise - Jon Barker; Martin Cooke (Speech Commun., 2007)

Exploiting correlogram structure for robust speech recognition with multiple speech sources - Ning Ma; Phil D. Green; Jon Barker; André Coy (Speech Commun., 2007)

Audio-visual speech fragment decoding - Jon Barker; Xu Shao (Auditory-Visual Speech Processing 2007, AVSP 2007, Hilvarenbeek, The Netherlands, August 31 - September 3, 2007, 2007)

Applying word duration constraints by using unrolled HMMs - Ning Ma; Jon Barker; Phil D. Green (8th Annual Conference of the International Speech Communication Association, INTERSPEECH 2007, Antwerp, Belgium, August 27-31, 2007, 2007)

Integrating pitch and localisation cues at a speech fragment level - Heidi Christensen; Ning Ma; Stuart N. Wrigley; Jon Barker (8th Annual Conference of the International Speech Communication Association, INTERSPEECH 2007, Antwerp, Belgium, August 27-31, 2007, 2007)

Mask estimation for missing data speech recognition based on statistics of binaural interaction - Sue Harding; Jon P. Barker; Guy J. Brown (IEEE Trans. Speech Audio Process., 2006)

Recognition of Reverberant Speech using Full Cepstral Features and Spectral Missing Data - Kalle J. Palomäki; Guy J. Brown; Jon P. Barker (2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 2006)

Speech Separation Based on The Statistics of Binaural Auditory Features - Guy J. Brown; Sue Harding; Jon P. Barker (2006 IEEE International Conference on Acoustics Speech and Signal Processing, ICASSP 2006, Toulouse, France, May 14-19, 2006, 2006)

Recent advances in speech fragment decoding techniques - Jon Barker; André Coy; Ning Ma; Martin Cooke (Ninth International Conference on Spoken Language Processing, INTERSPEECH-ICSLP 2006, Pittsburgh, PA, USA, September 17-21, 2006, 2006)

A multipitch tracker for monaural speech segmentation - André Coy; Jon Barker (Ninth International Conference on Spoken Language Processing, INTERSPEECH-ICSLP 2006, Pittsburgh, PA, USA, September 17-21, 2006, 2006)

Audio-visual speech recognition in the presence of a competing speaker - Xu Shao; Jon Barker (Ninth International Conference on Spoken Language Processing, INTERSPEECH-ICSLP 2006, Pittsburgh, PA, USA, September 17-21, 2006, 2006)

Decoding speech in the presence of other sources - Jon P. Barker; Martin P. Cooke; Daniel P. W. Ellis (Speech Commun., 2005)

Recognising Speech in the Presence of a Competing Speaker using a 'Speech Fragment Decoder' - André Coy; Jon Barker (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

Mask Estimation Based on Sound Localisation for Missing Data Speech Recognition - Sue Harding; Jon Barker; Guy J. Brown (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

Tracking Facial Markers with an Adaptive Marker Collocation Model - Jon Barker (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

Binaural feature selection for missing data speech recognition - Sue Harding; Jon P. Barker; Guy J. Brown (9th European Conference on Speech Communication and Technology, INTERSPEECH-Eurospeech 2005, Lisbon, Portugal, September 4-8, 2005, 2005)

Soft harmonic masks for recognising speech in the presence of a competing speaker - André Coy; Jon Barker (9th European Conference on Speech Communication and Technology, INTERSPEECH-Eurospeech 2005, Lisbon, Portugal, September 4-8, 2005, 2005)

Techniques for handling convolutional distortion with 'missing data' automatic speech recognition - Kalle J. Palomäki; Guy J. Brown; Jon P. Barker (Speech Commun., 2004)

Missing data speech recognition in reverberant conditions - Kalle J. Palomäki; Guy J. Brown; Jon P. Barker (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2002, May 13-17 2002, Orlando, Florida, USA, 2002)

Handling Missing and Unreliable Information in Speech Recognition - Phil D. Green; Jon Barker; Martin Cooke; Ljubomir Josifovski (Proceedings of the Eighth International Workshop on Artificial Intelligence and Statistics, AISTATS 2001, Key West, Florida, USA, January 4-7, 2001, 2001)

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 (EUROSPEECH 2001 Scandinavia, 7th European Conference on Speech Communication and Technology, 2nd INTERSPEECH Event, Aalborg, Denmark, September 3-7, 2001, 2001)

Decoding speech in the presence of other sound sources - Jon Barker; Martin Cooke; Daniel P. W. Ellis (Sixth International Conference on Spoken Language Processing, ICSLP 2000 / INTERSPEECH 2000, Beijing, China, October 16-20, 2000, 2000)

Soft decisions in missing data techniques for robust automatic speech recognition - Jon Barker; Ljubomir Josifovski; Martin Cooke; Phil D. Green (Sixth International Conference on Spoken Language Processing, ICSLP 2000 / INTERSPEECH 2000, Beijing, China, October 16-20, 2000, 2000)

Is the sine-wave speech cocktail party worth attending? - Jon Barker; Martin Cooke (Speech Commun., 1999)

Estimation of speech acoustics from visual speech features: A comparison of linear and non-linear models - Jon P. Barker; Frédéric Berthommier (Auditory-Visual Speech Processing, AVSP '99, Santa Cruz, CA, USA, August 7-10, 1999, 1999)

Is Primitive AV Coherence An Aid To Segment The Scene? - Jon P. Barker; Frédéric Berthommier; Jean-Luc Schwartz (Auditory-Visual Speech Processing, AVSP '98, Sydney, NSW, Australia, December 4-6, 1998, 1998)

Acoustic confidence measures for segmenting broadcast news - Jon Barker; Gethin Williams; Steve Renals (The 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November - 4th December 1998, 1998)

Modelling the recognition of spectrally reduced speech - Jon Barker; Martin Cooke (Fifth European Conference on Speech Communication and Technology, EUROSPEECH 1997, Rhodes, Greece, September 22-25, 1997, 1997)