Datensatz: Pretrained models for animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
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Datum der Erstveröffentlichung
2024
Autor:innen
Zimmermann, Julian
Faiß, Marius
Johnson-Ulrich, Lily
Stowell, Dan
Manser, Marta
Andere Beitragende
Repositorium der Erstveröffentlichung
Max Planck Digital Library
Version des Datensatzes
DOI (Link zu den Daten)
Link zur Lizenz
oops
Angaben zur Forschungsförderung
Projekt
Core Facility der Universität Konstanz
Titel in einer weiteren Sprache
Publikationsstatus
Published
Zusammenfassung
Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
570 Biowissenschaften, Biologie
Schlagwörter
Biology, Computer Science, Systems and Electrical Engineering, Deep Learning, Transformer, Bioascoustics, Bioacoustics, audio, machine learning, Pretraining / Finetune, Meerkats, Model weights
Zitieren
ISO 690
ZIMMERMANN, Julian, Vlad DEMARTSEV, Baptiste AVERLY, Kiran L. DHANJAL-ADAMS, Mathieu DUTEIL, Gabriella GALL, Marius FAISS, Lily JOHNSON-ULRICH, Dan STOWELL, Marta MANSER, Marie ROCH, Ariana STRANDBURG-PESHKIN, 2024. Pretrained models for animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacousticsBibTex
RDF
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