View in EDS PDF Full Text

Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations.

Saved in:
Bibliographic Details
Title: Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations.
Authors: Romero-Mujalli D; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany. danielrm84@gmail.com., Bergmann T; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany., Zimmermann A; University of Aalen, Aalen, Germany., Scheumann M; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany.
Source: Scientific reports [Sci Rep] 2021 Dec 27; Vol. 11 (1), pp. 24463. Date of Electronic Publication: 2021 Dec 27.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 34961788
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Romero-Mujalli+D%22">Romero-Mujalli D</searchLink>; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany. danielrm84@gmail.com.<br /><searchLink fieldCode="AU" term="%22Bergmann+T%22">Bergmann T</searchLink>; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany.<br /><searchLink fieldCode="AU" term="%22Zimmermann+A%22">Zimmermann A</searchLink>; University of Aalen, Aalen, Germany.<br /><searchLink fieldCode="AU" term="%22Scheumann+M%22">Scheumann M</searchLink>; Institute of Zoology, University of Veterinary Medicine Hannover, Bünteweg 17, 30559, Hannover, Germany.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2021 Dec 27; Vol. 11 (1), pp. 24463. <i>Date of Electronic Publication: </i>2021 Dec 27.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=34961788
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41598-021-03941-1
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 24463
    Titles:
      – TitleFull: Utilizing DeepSqueak for automatic detection and classification of mammalian vocalizations: a case study on primate vocalizations.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Romero-Mujalli D
      – PersonEntity:
          Name:
            NameFull: Bergmann T
      – PersonEntity:
          Name:
            NameFull: Zimmermann A
      – PersonEntity:
          Name:
            NameFull: Scheumann M
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 27
              M: 12
              Text: 2021 Dec 27
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-electronic
              Value: 2045-2322
          Numbering:
            – Type: volume
              Value: 11
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Scientific reports
              Type: main
ResultId 1