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DCASE 2023 Task5: Few-shot Bioacoustic Event Detection: Evaluation set

Zenodo (CERN European Organization for Nuclear Research)

Abstract

General Description The evaluation set for task 5 of DCASE 2023 "Few-shot Bioacoustic Event Detection" consists of 8 subsets of data representing different acoustic sources, in total there are 66 audio files. The first 5 annotations are provided for each file, with events marked as positive (POS) for the class of interest. This dataset is to be used for evaluation purposes during the task. Folder structure Audiofiles and annotation files are organized across 3 different zip files: Eval_1.zip |___CHE23/ |____*.wav |____*.csv |___CW/ |____*.wav |____*.csv Eval_2.zip |___MGE/ |____*.wav |____*.csv |___MS/ |____*.wav |____*.csv |___QU/ |____*.wav |____*.csv Eval_3.zip |___DC/ |____*.wav |____*.csv |___CT/ |____*.wav |____*.csv |___CHE/ |____*.wav |____*.csv Annotations_only.zip contains the *.csv files organised in the same subfolders. *The subfolders denote different recording sources and there may or may not be overlap between classes of interest from different wav files. *Note that there can be different target classes within the same subfolder Annotation structure Each line of the annotation csv represents an event in the audio file. The column descriptions are as follows: [ Audiofilename, Starttime, Endtime, Q ] Development Set The development set for the same task can be found at: https://doi.org/10.5281/zenodo.6012309. Open Access This dataset is available under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. Contact info Please send any feedback or questions to: Ines Nolasco: i.dealmeidanolasco@qmul.ac.uk or join us on slack: task-fewshot-bio-sed

Authors 15

  1. Queen Mary University of London

    Affiliation as printed

    Queen Mary university of London

  2. Queen Mary University of London

    Affiliation as printed

    Queen Mary university of London

  3. Universitat Ramon Llull

    Affiliation as printed

    La Salle, Universitat Ramon Llull

  4. University of Salford

    Affiliation as printed

    University of Salford

  5. University of Konstanz · Max Planck Institute of Animal Behavior

    Affiliation as printed

    University of Konstanz & Max Planck Institute of Animal Behavior

  6. Syracuse University

    Affiliation as printed

    Syracuse University

  7. University of Surrey

    Affiliation as printed

    University of Surrey

  8. University of Oxford

    Affiliation as printed

    University of Oxford

  9. AGH University of Krakow

    Affiliation as printed

    AGH University of Science and Technology,

  10. Affiliation as printed

    Biotopia, Naturkundemuseum Bayern

  11. Tilburg University

    Affiliation as printed

    Tilburg University

  12. Queen Mary University of London

    Affiliation as printed

    Queen Mary University of London

  13. Centre National de la Recherche Scientifique

    Affiliation as printed

    Centre National de la Recherche Scientifique (CNRS)

  14. University of Konstanz · Max Planck Institute of Animal Behavior

    Affiliation as printed

    University of Konstanz & Max Planck Institute of Animal Behavior

  15. Dan Stowell Aachen

    Naturalis Biodiversity Center · Tilburg University

    Affiliation as printed

    Tilburg University & Naturalis Biodiversity Centre

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