Modelling the recognition of spectrally reduced speech. - Jon Barker; Martin Cooke (EUROSPEECH, 1997)

Is Primitive AV Coherence An Aid To Segment The Scene? - Jon P. Barker; Frédéric Berthommier; Jean-Luc Schwartz (AVSP, 1998)

Acoustic confidence measures for segmenting broadcast news. - Jon Barker; Gethin Williams; Steve Renals (ICSLP, 1998)

Estimation of speech acoustics from visual speech features: A comparison of linear and non-linear models. - Jon P. Barker; Frédéric Berthommier (AVSP, 1999)

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

Decoding speech in the presence of other sound sources. - Jon Barker; Martin Cooke; Daniel P. W. Ellis (INTERSPEECH, 2000)

Soft decisions in missing data techniques for robust automatic speech recognition. - Jon Barker; Ljubomir Josifovski; Martin Cooke; Phil D. Green (INTERSPEECH, 2000)

Handling Missing and Unreliable Information in Speech Recognition. - Phil D. Green; Jon Barker; Martin Cooke; Ljubomir Josifovski (AISTATS, 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 (INTERSPEECH, 2001)

Missing data speech recognition in reverberant conditions. - Kalle J. Palomäki; Guy J. Brown; Jon P. Barker (ICASSP, 2002)

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

Tracking Facial Markers with an Adaptive Marker Collocation Model. - Jon Barker (ICASSP (2), 2005)

Recognising Speech in the Presence of a Competing Speaker using a 'Speech Fragment Decoder'. - André Coy; Jon Barker (ICASSP (1), 2005)

Mask Estimation Based on Sound Localisation for Missing Data Speech Recognition. - Sue Harding; Jon Barker; Guy J. Brown (ICASSP (1), 2005)

Soft harmonic masks for recognising speech in the presence of a competing speaker. - André Coy; Jon Barker (INTERSPEECH, 2005)

Binaural feature selection for missing data speech recognition. - Sue Harding; Jon P. Barker; Guy J. Brown (INTERSPEECH, 2005)

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

Speech Separation Based on The Statistics of Binaural Auditory Features. - Guy J. Brown; Sue Harding; Jon P. Barker (ICASSP (5), 2006)

Recognition of Reverberant Speech using Full Cepstral Features and Spectral Missing Data. - Kalle J. Palomäki; Guy J. Brown; Jon P. Barker (ICASSP (1), 2006)

Recent advances in speech fragment decoding techniques. - Jon Barker; André Coy; Ning Ma 002; Martin Cooke (INTERSPEECH, 2006)

A multipitch tracker for monaural speech segmentation. - André Coy; Jon Barker (INTERSPEECH, 2006)

Audio-visual speech recognition in the presence of a competing speaker. - Xu Shao; Jon Barker (INTERSPEECH, 2006)

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)

Audio-visual speech fragment decoding. - Jon Barker; Xu Shao (AVSP, 2007)

Integrating pitch and localisation cues at a speech fragment level. - Heidi Christensen; Ning Ma 002; Stuart N. Wrigley; Jon Barker (INTERSPEECH, 2007)

Applying word duration constraints by using unrolled HMMs. - Ning Ma 002; Jon Barker; Phil D. Green (INTERSPEECH, 2007)

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

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

Exploiting correlogram structure for robust speech recognition with multiple speech sources. - Ning Ma 002; Phil D. Green; Jon Barker; André Coy (Speech Commun., 2007)

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 (ICMI, 2008)

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

A speech fragment approach to localising multiple speakers in reverberant environments. - Heidi Christensen; Ning Ma 002; Stuart N. Wrigley; Jon Barker (ICASSP, 2009)

Using location cues to track speaker changes from mobile, binaural microphones. - Heidi Christensen; Jon Barker (INTERSPEECH, 2009)

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

Speaker turn tracking with mobile microphones: Combining location and pitch information. - Heidi Christensen; Jon Barker (EUSIPCO, 2010)

The CHiME corpus: a resource and a challenge for computational hearing in multisource environments. - Heidi Christensen; Jon Barker; Ning Ma 002; Phil D. Green (INTERSPEECH, 2010)

Distant microphone speech recognition in a noisy indoor environment: combining soft missing data and speech fragment decoding. - Ning Ma 002; Jon Barker; Heidi Christensen; Phil D. Green (SAPA@INTERSPEECH, 2010)

Speech fragment decoding techniques for simultaneous speaker identification and speech recognition. - Jon Barker; Ning Ma 002; André Coy; Martin Cooke (Comput. Speech Lang., 2010)

A pitch based noise estimation technique for robust speech recognition with Missing Data. - Juan Andres Morales-Cordovilla; Ning Ma 002; Victoria E. Sánchez; José L. Carmona; Antonio M. Peinado; Jon Barker (ICASSP, 2011)

Crowdsourcing for Word Recognition in Noise. - Martin Cooke; Jon Barker; María Luisa García Lecumberri; Krzysztof Wasilewski (INTERSPEECH, 2011)

Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments. - Ning Ma 002; Jon Barker; Heidi Christensen; Phil D. Green (INTERSPEECH, 2011)

Missing-Data Techniques: Recognition with Incomplete Spectrograms. - Jon Barker (Techniques for Noise Robustness in Automatic Speech Recognition, 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 002; Jon Barker (ICASSP, 2012)

Coupling identification and reconstruction of missing features for noise-robust automatic speech recognition. - Ning Ma 002; Jon Barker (INTERSPEECH, 2012)

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 002; Jon Barker; Heidi Christensen; Phil D. Green (IEEE Trans. Speech Audio Process., 2012)

The second 'CHiME' speech separation and recognition challenge: An overview of challenge systems and outcomes. - Emmanuel Vincent 001; Jon Barker; Shinji Watanabe 001; Jonathan Le Roux; Francesco Nesta; Marco Matassoni (ASRU, 2013)

The second 'chime' speech separation and recognition challenge: Datasets, tasks and baselines. - Emmanuel Vincent 001; Jon Barker; Shinji Watanabe 001; Jonathan Le Roux; Francesco Nesta; Marco Matassoni (ICASSP, 2013)

Special issue on speech separation and recognition in multisource environments. - Jon Barker; Emmanuel Vincent 001 (Comput. Speech Lang., 2013)

The PASCAL CHiME speech separation and recognition challenge. - Jon Barker; Emmanuel Vincent 001; Ning Ma 002; 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 002; 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 002 (IEEE Signal Process. Lett., 2013)

MMSE-Based Missing-Feature Reconstruction With Temporal Modeling for Robust Speech Recognition. - José A. González 001; Antonio M. Peinado; Ning Ma 002; Angel M. Gomez; Jon Barker (IEEE Trans. Speech Audio Process., 2013)

Speech pre-enhancement using a discriminative microscopic intelligibility model. - Maryam Al Dabel; Jon Barker (INTERSPEECH, 2014)

The third 'CHiME' speech separation and recognition challenge: Dataset, task and baselines. - Jon Barker; Ricard Marxer; Emmanuel Vincent 001; Shinji Watanabe 001 (ASRU, 2015)

Exploiting synchrony spectra and deep neural networks for noise-robust automatic speech recognition. - Ning Ma 002; Ricard Marxer; Jon Barker; Guy J. Brown (ASRU, 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 (AVSP, 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 (ICPhS, 2015)

On the role of discriminative intelligibility model for speech intelligibility enhancement. - Maryam Al Dabel; Jon Barker (ICPhS, 2015)

The effect of cochlear implant processing on speaker intelligibility: a perceptual study and computer model. - Lin Lin; Jon Barker; Guy J. Brown (INTERSPEECH, 2015)

Source-filter separation of speech signal in the phase domain. - Erfan Loweimi; Jon Barker; Thomas Hain (INTERSPEECH, 2015)

A framework for the evaluation of microscopic intelligibility models. - Ricard Marxer; Martin Cooke; Jon Barker (INTERSPEECH, 2015)

Long-Term Statistical Feature Extraction from Speech Signal and Its Application in Emotion Recognition. - Erfan Loweimi; Mortaza Doulaty; Jon Barker; Thomas Hain (SLSP, 2015)

Chime-home: A dataset for sound source recognition in a domestic environment. - Peter Foster; Siddharth Sigtia; Sacha Krstulovic; Jon Barker; Mark D. Plumbley (WASPAA, 2015)

A Data Driven Approach to Audiovisual Speech Mapping. - Andrew Abel; Ricard Marxer; Jon Barker; Roger Watt; Bill Whitmer; Peter Derleth; Amir Hussain 001 (BICS, 2016)

Language Effects in Noise-Induced Word Misperceptions. - María Luisa García Lecumberri; Jon Barker; Ricard Marxer; Martin Cooke (INTERSPEECH, 2016)

Use of Generalised Nonlinearity in Vector Taylor Series Noise Compensation for Robust Speech Recognition. - Erfan Loweimi; Jon Barker; Thomas Hain (INTERSPEECH, 2016)

Multichannel Spatial Clustering for Robust Far-Field Automatic Speech Recognition in Mismatched Conditions. - Michael I. Mandel; Jon Barker (INTERSPEECH, 2016)

Misperceptions Arising from Speech-in-Babble Interactions. - Máté Attila Tóth; Martin Cooke; Jon Barker (INTERSPEECH, 2016)

The CHiME Challenges: Robust Speech Recognition in Everyday Environments. - Jon P. Barker; Ricard Marxer; Emmanuel Vincent 001; Shinji Watanabe 001 (New Era for Robust Speech Recognition, Exploiting Deep Learning, 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)

Statistical normalisation of phase-based feature representation for robust speech recognition. - Erfan Loweimi; Jon Barker; Thomas Hain (ICASSP, 2017)

Channel Compensation in the Generalised Vector Taylor Series Approach to Robust ASR. - Erfan Loweimi; Jon Barker; Thomas Hain (INTERSPEECH, 2017)

Robust Source-Filter Separation of Speech Signal in the Phase Domain. - Erfan Loweimi; Jon Barker; Oscar Saz-Torralba; Thomas Hain (INTERSPEECH, 2017)

Binary Mask Estimation Strategies for Constrained Imputation-Based Speech Enhancement. - Ricard Marxer; Jon Barker (INTERSPEECH, 2017)

Multi-microphone speech recognition in everyday environments. - Jon Barker; Ricard Marxer; Emmanuel Vincent 001; Shinji Watanabe 001 (Comput. Speech Lang., 2017)

The third 'CHiME' speech separation and recognition challenge: Analysis and outcomes. - Jon Barker; Ricard Marxer; Emmanuel Vincent 001; Shinji Watanabe 001 (Comput. Speech Lang., 2017)

An analysis of environment, microphone and data simulation mismatches in robust speech recognition. - Emmanuel Vincent 001; Shinji Watanabe 001; Aditya Arie Nugraha; Jon Barker; Ricard Marxer (Comput. Speech Lang., 2017)

Spectral Reconstruction and Noise Model Estimation Based on a Masking Model for Noise Robust Speech Recognition. - José A. González 001; Angel Manuel Gomez Garcia; Antonio M. Peinado; Ning Ma 002; 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)

Deep Learning of Articulatory-Based Representations and Applications for Improving Dysarthric Speech Recognition. - Feifei Xiong; Jon Barker; Heidi Christensen (ITG Symposium on Speech Communication, 2018)

Malware Detection by Eating a Whole EXE. - Edward Raff; Jon Barker; Jared Sylvester; Robert Brandon; Bryan Catanzaro; Charles K. Nicholas (AAAI Workshops, 2018)

SDC-Net: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (ECCV (7), 2018)

Exploring the Use of Group Delay for Generalised VTS Based Noise Compensation. - Erfan Loweimi; Jon Barker; Thomas Hain (ICASSP, 2018)

The Fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, Task and Baselines. - Jon Barker; Shinji Watanabe 001; Emmanuel Vincent 001; Jan Trmal (INTERSPEECH, 2018)

DNN Driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation. - Mandar Gogate; Ahsan Adeel; Ricard Marxer; Jon Barker; Amir Hussain 001 (INTERSPEECH, 2018)

On the Usefulness of the Speech Phase Spectrum for Pitch Extraction. - Erfan Loweimi; Jon Barker; Thomas Hain (INTERSPEECH, 2018)

SDCNet: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

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

Phonetic Analysis of Dysarthric Speech Tempo and Applications to Robust Personalised Dysarthric Speech Recognition. - Feifei Xiong; Jon Barker; Heidi Christensen (ICASSP, 2019)

Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System. - Gerardo Roa Dabike; Jon Barker (INTERSPEECH, 2019)

Source Domain Data Selection for Improved Transfer Learning Targeting Dysarthric Speech Recognition. - Feifei Xiong; Jon Barker; Zhengjun Yue; Heidi Christensen (ICASSP, 2020)

Exploring Appropriate Acoustic and Language Modelling Choices for Continuous Dysarthric Speech Recognition. - Zhengjun Yue; Feifei Xiong; Heidi Christensen; Jon Barker (ICASSP, 2020)

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

Simulating Realistically-Spatialised Simultaneous Speech Using Video-Driven Speaker Detection and the CHiME-5 Dataset. - Jack Deadman; Jon Barker (INTERSPEECH, 2020)

Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition. - Zhengjun Yue; Heidi Christensen; Jon Barker (INTERSPEECH, 2020)

CHiME-6 Challenge: Tackling Multispeaker Speech Recognition for Unsegmented Recordings. - Shinji Watanabe 001; Michael I. Mandel; Jon Barker; Emmanuel Vincent 001 (CoRR, 2020)

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

DHASP: Differentiable Hearing Aid Speech Processing. - Zehai Tu; Ning Ma 002; Jon Barker (ICASSP, 2021)

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

Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model. - Zehai Tu; Ning Ma 002; Jon Barker (Interspeech, 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 (Interspeech, 2021)

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

Improved Simulation of Realistically-Spatialised Simultaneous Speech Using Multi-Camera Analysis in The Chime-5 Dataset. - Jack Deadman; Jon Barker (ICASSP, 2022)

Auditory-Based Data Augmentation for end-to-end Automatic Speech Recognition. - Zehai Tu; Jack Deadman; Ning Ma 002; Jon Barker (ICASSP, 2022)

Multi-Modal Acoustic-Articulatory Feature Fusion For Dysarthric Speech Recognition. - Zhengjun Yue; Erfan Loweimi; Zoran Cvetkovic; Heidi Christensen; Jon Barker (ICASSP, 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 (INTERSPEECH, 2022)

Modelling Turn-taking in Multispeaker Parties for Realistic Data Simulation. - Jack Deadman; Jon Barker (INTERSPEECH, 2022)

Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners. - Zehai Tu; Ning Ma 002; Jon Barker (INTERSPEECH, 2022)

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction. - Zehai Tu; Ning Ma 002; Jon Barker (INTERSPEECH, 2022)

Dysarthric Speech Recognition From Raw Waveform with Parametric CNNs. - Zhengjun Yue; Erfan Loweimi; Heidi Christensen; Jon Barker; Zoran Cvetkovic (INTERSPEECH, 2022)

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

SNuC: The Sheffield Numbers Spoken Language Corpus. - Emma Barker; Jon Barker; Robert J. Gaizauskas; Ning Ma 002; Monica Lestari Paramita (LREC, 2022)

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (CoRR, 2022)

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)

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 (HCMIR@ISMIR, 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 (ICASSP, 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 (ICASSP, 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)

Intelligibility prediction with a pretrained noise-robust automatic speech recognition model. - Zehai Tu; Ning Ma 002; Jon Barker (CoRR, 2023)

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

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (WACV, 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 001; 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 001; Bryan Catanzaro; Andrew Tao (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 (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)

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