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Jon Barker

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Non-Intrusive Speech Intelligibility Prediction for Hearing-Impaired Users using Intermediate ASR Features and Human Memory Models

Jan 24, 2024
Rhiannon Mogridge, George Close, Robert Sutherland, Thomas Hain, Jon Barker, Stefan Goetze, Anton Ragni

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Overview Of The 2023 Icassp Sp Clarity Challenge: Speech Enhancement For Hearing Aids

Nov 24, 2023
Trevor J. Cox, Jon Barker, Will Bailey, Simone Graetzer, Michael A. Akeroyd, John F. Culling, Graham Naylor

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Intelligibility prediction with a pretrained noise-robust automatic speech recognition model

Oct 20, 2023
Zehai Tu, Ning Ma, Jon Barker

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The First Cadenza Signal Processing Challenge: Improving Music for Those With a Hearing Loss

Oct 09, 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 Whitmer

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The Cadenza ICASSP 2024 Grand Challenge

Oct 05, 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 Whitmer

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On monoaural speech enhancement for automatic recognition of real noisy speech using mixture invariant training

May 03, 2022
Jisi Zhang, Catalin Zorila, Rama Doddipatla, Jon Barker

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Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction

Apr 08, 2022
Zehai Tu, Ning Ma, Jon Barker

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Exploiting Hidden Representations from a DNN-based Speech Recogniser for Speech Intelligibility Prediction in Hearing-impaired Listeners

Apr 08, 2022
Zehai Tu, Ning Ma, Jon Barker

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Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition

Apr 08, 2022
Zehai Tu, Jack Deadman, Ning Ma, Jon Barker

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Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction

Jan 31, 2022
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava

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