Acoustic individual identification in a species of field cricket using deep learning.

Saved in:
Bibliographic Details
Title: Acoustic individual identification in a species of field cricket using deep learning.
Authors: Kabuga E; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa., Nandi D; School of Arts and Sciences, Azim Premji University, Bangalore, India., Burrell S; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom., Dlamini G; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa., Balakrishnan R; Centre for Ecological Sciences, Indian Institute of Science, Bangalore, India., Bah B; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, The Gambia., Durbach I; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom.
Source: The Journal of the Acoustical Society of America [J Acoust Soc Am] 2026 Jun 01; Vol. 159 (6), pp. 5288-5299.
Publication Type: Journal Article
Journal Info: Publisher: American Institute of Physics Country of Publication: United States NLM ID: 7503051 Publication Model: Print Cited Medium: Internet ISSN: 1520-8524 (Electronic) Linking ISSN: 00014966 NLM ISO Abbreviation: J Acoust Soc Am Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 42294872
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Acoustic individual identification in a species of field cricket using deep learning.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Kabuga+E%22">Kabuga E</searchLink>; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.<br /><searchLink fieldCode="AU" term="%22Nandi+D%22">Nandi D</searchLink>; School of Arts and Sciences, Azim Premji University, Bangalore, India.<br /><searchLink fieldCode="AU" term="%22Burrell+S%22">Burrell S</searchLink>; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom.<br /><searchLink fieldCode="AU" term="%22Dlamini+G%22">Dlamini G</searchLink>; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.<br /><searchLink fieldCode="AU" term="%22Balakrishnan+R%22">Balakrishnan R</searchLink>; Centre for Ecological Sciences, Indian Institute of Science, Bangalore, India.<br /><searchLink fieldCode="AU" term="%22Bah+B%22">Bah B</searchLink>; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Medical Research Council Unit The Gambia at London School of Hygiene and Tropical Medicine, The Gambia.<br /><searchLink fieldCode="AU" term="%22Durbach+I%22">Durbach I</searchLink>; Centre for Statistics in Ecology, the Environment, and Conservation, University of Cape Town, South Africa.; African Institute for Mathematical Sciences (AIMS South Africa), Cape Town, South Africa.; Centre for Research into Ecological and Environmental Modelling, University of Saint Andrews, United Kingdom.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%227503051%22">The Journal of the Acoustical Society of America</searchLink> [J Acoust Soc Am] 2026 Jun 01; Vol. 159 (6), pp. 5288-5299.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Institute+of+Physics%22">American Institute of Physics </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7503051 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1520-8524 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200014966%22">00014966 </searchLink><i>NLM ISO Abbreviation: </i>J Acoust Soc Am <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42294872
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1121/10.0044100
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 5288
    Titles:
      – TitleFull: Acoustic individual identification in a species of field cricket using deep learning.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Kabuga E
      – PersonEntity:
          Name:
            NameFull: Nandi D
      – PersonEntity:
          Name:
            NameFull: Burrell S
      – PersonEntity:
          Name:
            NameFull: Dlamini G
      – PersonEntity:
          Name:
            NameFull: Balakrishnan R
      – PersonEntity:
          Name:
            NameFull: Bah B
      – PersonEntity:
          Name:
            NameFull: Durbach I
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 06
              Text: 2026 Jun 01
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1520-8524
          Numbering:
            – Type: volume
              Value: 159
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: The Journal of the Acoustical Society of America
              Type: main
ResultId 1