Small example datasets of annotated vocalizations
Small example datasets of annotated vocalizations.
Useful if you have:
- need some example vocalizations that are quick to download
- build a tool that works with different annotation formats and you want to test that tool
There are two components to
- command-line tool that creates the small example datasets from larger publicly-available datasets
- package that fetches the small example datasets, which can be a dependency for your library
To use (1), you invoke the command-line tool
Cloning this repository, installing it for development (see below), and then calling
$ pollymake all
will re-make the dataset within the repository.
pollymake creates an archive from each repository. These are then uploaded to a Figshare dataset repository:
The goal of this package to share code that automates the process of creating a data
repository on FigShare, and make this source open for collaboration. The
formats in this repository can be parsed by the
Crowsetta package. Development and
crowsetta make use of the small, quick-to-download archives of
each format on Figshare that are generated from the source in this repository.
crowsetta provides tools for anyone that wants to write clean code
when working with these annotation formats (or their own format)
To learn more, please visit https://github.com/NickleDave/crowsetta
formats + references
Below are the formats included and references for the sources.
Textgrids output by the Praat program.
Songs with Praat textgrid format are from the Birdsong Database provided by the
Taylor lab at UCLA:
as presented in this paper: https://www.sciencedirect.com/science/article/pii/S1574954115000151 The .xls file containing links to songs from the Taylor lab birdsong database was created by Tim Sainburg to train generative networks for animal vocalizations: https://github.com/timsainb/AVGN; adapted under MIT license.
.not.mat files are output by the evsonganaly GUI created by Evren Tumer in the Brainard lab. The audio file format .cbin is output by the Labview program EvTAF.
Another repository of Bengalese finch song annotated in this format is here: https://figshare.com/articles/Bengalese_Finch_song_repository/4805749
A specific .xml format for a repository of labeled Bengalese Finch song. The repository is here: https://figshare.com/articles/BirdsongRecognition/3470165. The repository provides data for testing a convolutional neural network to segment and label vocalizations, as shared in the repository https://github.com/takuya-koumura/birdsong-recognition and discussed in the paper "Automatic recognition of element classes and boundaries in the birdsong with variable sequences" by Takuya Koumura and Kazuo Okanoya (http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0159188).
Pollyglot (c) by David Nicholson, 2018-2019.
Code is shared under BSD-3 License.
Where applicable, data in the vocal-annotations-formats-dataset is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. (The figshare repositories are shared under CC-BY-4.0) Where the authors have not made their intentions clear with a license, citations to papers and links to the original source are included. Please raise an issue on this repository if there are any concerns about this.
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