A practical guide for generating unsupervised, spectrogram-based latent space representations of animal vocalizations.

Thomas, Mara; Jensen, Frants H; Averly, Baptiste; Demartsev, Vlad; Manser, Marta B; Sainburg, Tim; Roch, Marie A; Strandburg-Peshkin, Ariana

Thomas, Mara; Jensen, Frants H; Averly, Baptiste; Demartsev, Vlad; Manser, Marta B; Sainburg, Tim; Roch, Marie A; Strandburg-Peshkin, Ariana.

Afiliación

Thomas M; Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Constance, Germany.
Jensen FH; Department of Biology, University of Konstanz, Constance, Germany.
Averly B; Department of Biology, Woods Hole Oceanographic Institution, Woods Hole, MA, USA.
Demartsev V; Department of Biology, Syracuse University, Syracuse, NY, USA.
Manser MB; Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Constance, Germany.
Sainburg T; Department of Biology, University of Konstanz, Constance, Germany.
Roch MA; Department for the Ecology of Animal Societies, Max Planck Institute of Animal Behavior, Constance, Germany.
Strandburg-Peshkin A; Department of Biology, University of Konstanz, Constance, Germany.

J Anim Ecol ; 91(8): 1567-1581, 2022 08.

Article en En | MEDLINE | ID: mdl-35657634

Asunto(s)

Herpestidae; Vocalización Animal; Animales

Palabras clave

UMAP; animal sounds; animal vocalizations; bioacoustics; call classification; dimensionality reduction; spectrogram; unsupervised learning

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vocalización Animal / Herpestidae Límite: Animals Idioma: En Revista: J Anim Ecol Año: 2022 Tipo del documento: Article País de afiliación: Alemania

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