Published October 8, 2018 | Version 0.1
Dataset Open

Datasets for automatic acoustic identification of individual birds

  • 1. Queen Mary University of London
  • 2. Charles University
  • 3. Czech Academy of Sciences
  • 4. Adam Mickiewicz University

Description

Bird individual audio recordings (foreground and background) to accompany the work:

"Automatic acoustic identification of individuals: Improving generalisation across species and recording conditions"
by Dan Stowell, Tereza Petrusková, Martin Šálek, Pavel Linhart

https://royalsocietypublishing.org/doi/10.1098/rsif.2018.0940


This dataset contains labelled recordings of individuals from three different bird species:

  • Little owl
  • Chiffchaff
  • Tree Pipit

For more information, please see the README.txt file, and the research article.

The dataset takes approx 11 GB of disk space after the ZIP files have been uncompressed.

 

Notes

Funding: DS was supported by EPSRC Early Career research fellowship EP/L020505/1. PL was supported by the National Science Centre, Poland, under Polonez fellowship reg. no UMO-2015/19/P/NZ8/02507 funded by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 665778. TP was supported by the Czech Science Foundation (project P505/11/P572).M\v{S} was supported by the research aim of the Czech Academy of Sciences (RVO 68081766).

Files

chiffchaff-bg.zip

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