Bird song comparison using deep learning trained from avian perceptual judgments

• Lies Zandberg ,

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

  * E-mail: elisabeth.zandberg@rhul.ac.uk

  Affiliations Department of Psychology, Royal Holloway University of London, Egham, United Kingdom, Department of Psychology, Queen Mary University of London, London, United Kingdom

  https://orcid.org/0000-0003-0900-3980

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• Veronica Morfi,

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

  Affiliation Machine Listening Lab, Centre for Digital Music (C4DM), Queen Mary University of London, London, United Kingdom

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• Julia M. George,

  Roles Investigation, Writing – review & editing

  Affiliations Department of Psychology, Queen Mary University of London, London, United Kingdom, Department of Biological Sciences, Clemson University, Clemson, South Carolina, United States of America

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• David F. Clayton,

  Roles Methodology, Writing – review & editing

  Affiliations Department of Psychology, Queen Mary University of London, London, United Kingdom, Department of Genetics and Biochemistry, Clemson University, Clemson, South Carolina, United States of America

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• Dan Stowell,

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

  Affiliations Machine Listening Lab, Centre for Digital Music (C4DM), Queen Mary University of London, London, United Kingdom, Department of Cognitive Science and AI, Tilburg University, Tilburg, Netherlands, Naturalis Biodiversity Centre, Leiden, Netherlands

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• Robert F. Lachlan

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

  Affiliations Department of Psychology, Royal Holloway University of London, Egham, United Kingdom, Department of Psychology, Queen Mary University of London, London, United Kingdom

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