Real-time noise cancellation with deep learning

• Bernd Porr ,

  Contributed equally to this work with: Bernd Porr, Sama Daryanavard, Lucía Muñoz Bohollo, Henry Cowan

  Roles Conceptualization, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: bernd.porr@glasgow.ac.uk

  Affiliation Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom

  https://orcid.org/0000-0001-8157-998X

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• Sama Daryanavard ,

  Contributed equally to this work with: Bernd Porr, Sama Daryanavard, Lucía Muñoz Bohollo, Henry Cowan

  Roles Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom

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• Lucía Muñoz Bohollo ,

  Contributed equally to this work with: Bernd Porr, Sama Daryanavard, Lucía Muñoz Bohollo, Henry Cowan

  Roles Data curation, Investigation, Writing – review & editing

  Affiliation Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom

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• Henry Cowan ,

  Contributed equally to this work with: Bernd Porr, Sama Daryanavard, Lucía Muñoz Bohollo, Henry Cowan

  Roles Data curation, Investigation, Writing – review & editing

  Affiliation Biomedical Engineering, James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom

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• Ravinder Dahiya

  Roles Conceptualization, Funding acquisition, Writing – review & editing

  ¶‡ RD also contributed equally to this work.

  Affiliation Bendable Electronics and Sensing Technologies (BEST) Group, James Watt School of Engineering, University of Glasgow, Glasgow, United Kingdom

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