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Part 1: Document Description
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Citation |
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Title: |
ESC: Dataset for Environmental Sound Classification |
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Identification Number: |
doi:10.7910/DVN/YDEPUT |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2015-05-01 |
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Version: |
2 |
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Bibliographic Citation: |
Karol J. Piczak, 2015, "ESC: Dataset for Environmental Sound Classification", https://doi.org/10.7910/DVN/YDEPUT, Harvard Dataverse, V2 |
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Citation |
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Title: |
ESC: Dataset for Environmental Sound Classification |
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Identification Number: |
doi:10.7910/DVN/YDEPUT |
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Authoring Entity: |
Karol J. Piczak (Warsaw University of Technology) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Karol J. Piczak |
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Depositor: |
Piczak, Karol |
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Date of Deposit: |
2015-04-16 |
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Holdings Information: |
https://doi.org/10.7910/DVN/YDEPUT |
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Study Scope |
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Keywords: |
Computer and Information Science, environmental sound, classification, dataset |
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Abstract: |
<p>The <strong>ESC dataset</strong> is a collection of short environmental recordings available in a unified format (5-second-long clips, 44.1 kHz, single channel, Ogg Vorbis compressed @ 192 kbit/s). All clips have been extracted from public field recordings available through the <a href="http://freesound.org">Freesound.org project</a>. Please see the README files for a detailed attribution list. The dataset is available under the terms of the <a href="http://creativecommons.org/licenses/by-nc/3.0/">Creative Commons license - Attribution-NonCommercial</a>.</p> <p>The dataset consists of three parts:</p> <ul> <li><strong><a href="https://github.com/karoldvl/ESC-50">ESC-50</a></strong>: a labeled set of 2 000 environmental recordings (50 classes, 40 clips per class),</li> <li><strong><a href="https://github.com/karoldvl/ESC-10">ESC-10</a></strong>: a labeled set of 400 environmental recordings (10 classes, 40 clips per class) (this is a subset of ESC-50 - created initialy as a proof-of-concept/standardized selection of easy recordings),</li> <li><strong>ESC-US</strong>: an unlabeled dataset of 250 000 environmental recordings (5-second-long clips), suitable for unsupervised pre-training.</li> </ul> <p>The ESC-US dataset, although not hand-annotated, includes the labels (tags) submitted by the original uploading users, which could be potentially used for weakly-supervised learning (noisy and/or missing labels). The ESC-10 and ESC-50 datasets have been prearranged into 5 uniformly sized folds so that clips extracted from the same original source recording are always contained in a single fold.</p> <p>The labeled datasets are also available as GitHub projects: <a href="https://github.com/karoldvl/ESC-50">ESC-50</a> | <a href="https://github.com/karoldvl/ESC-10">ESC-10</a>.</p> <p>For a more thorough description and analysis, please see the <a href="http://karol.piczak.com/papers/Piczak2015-ESC-Dataset.pdf">original paper</a> and the <a href="https://github.com/karoldvl/paper-2015-esc">supplementary IPython notebook</a>.</p> <hr> <p>The goal of this project is to facilitate open research initiatives in the field of environmental sound classification as publicly available datasets in this domain are still quite scarce.</p> <p><strong>Acknowledgments</strong><br/> I would like to thank <a href="http://www.dtic.upf.edu/~ffont/">Frederic Font Corbera</a> for his help in using the Freesound API.</p> |
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Notes: |
Notes |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
The dataset is available under the terms of the <a href="http://creativecommons.org/licenses/by-nc/3.0/">Creative Commons Attribution-NonCommercial 3.0 Unported License</a>. |
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Other Study Description Materials |
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ESC-10.zip |
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application/zip |
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ESC-50.zip |
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application/zip |
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ESC-US-00.tar.gz |
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application/x-gzip |
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ESC-US-01.tar.gz |
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application/x-gzip |
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ESC-US-02.tar.gz |
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ESC-US-03.tar.gz |
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ESC-US-04.tar.gz |
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ESC-US-05.tar.gz |
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ESC-US-06.tar.gz |
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ESC-US-07.tar.gz |
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ESC-US-08.tar.gz |
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ESC-US-09.tar.gz |
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ESC-US-10.tar.gz |
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ESC-US-11.tar.gz |
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ESC-US-12.tar.gz |
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ESC-US-13.tar.gz |
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ESC-US-14.tar.gz |
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ESC-US-19.tar.gz |
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ESC-US-20.tar.gz |
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ESC-US-21.tar.gz |
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ESC-US-22.tar.gz |
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ESC-US-23.tar.gz |
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ESC-US-24.tar.gz |
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ESC-US-25.tar.gz |
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