ESC: Dataset for Environmental Sound Classification

10.7910/DVN/YDEPUT Karol J. Piczak Karol J. Piczak https://orcid.org/0000-0002-6115-0833 Warsaw University of Technology ESC: Dataset for Environmental Sound Classification Harvard Dataverse 2015 Computer and Information Science environmental sound classification dataset Karol J. Piczak Karol J. Piczak Warsaw University of Technology 2015-04-16 2015-05-01 2015-10-18 10.7910/DVN/YDEPUT/B3VNQW 10.7910/DVN/YDEPUT/WTRZ0T 10.7910/DVN/YDEPUT/CTMZWH 10.7910/DVN/YDEPUT/YE0CVE 10.7910/DVN/YDEPUT/PHGHAY 10.7910/DVN/YDEPUT/77NPE8 10.7910/DVN/YDEPUT/6HCO29 10.7910/DVN/YDEPUT/C6TLBK 10.7910/DVN/YDEPUT/SUID5S 10.7910/DVN/YDEPUT/7MWQYV 10.7910/DVN/YDEPUT/PLB6IV 10.7910/DVN/YDEPUT/AKSRVI 10.7910/DVN/YDEPUT/QG5DAD 10.7910/DVN/YDEPUT/RCRWEK 10.7910/DVN/YDEPUT/IBQYRX 10.7910/DVN/YDEPUT/FNKGJW 10.7910/DVN/YDEPUT/F41ZEL 10.7910/DVN/YDEPUT/DHAXWJ 10.7910/DVN/YDEPUT/CACSFH 10.7910/DVN/YDEPUT/7Y94GY 10.7910/DVN/YDEPUT/BAH79R 10.7910/DVN/YDEPUT/2A3JAR 10.7910/DVN/YDEPUT/VGFYOG 10.7910/DVN/YDEPUT/VIWY1E 10.7910/DVN/YDEPUT/SS5V1D 10.7910/DVN/YDEPUT/SKBMRS 10.7910/DVN/YDEPUT/NPNZGH 10.7910/DVN/YDEPUT/5HRYIP 131730 113649 73765 109506 123011 172780 120423 108852 112838 125498 125838 139789 109851 123040 111286 114239 113163 107967 112630 116257 155656 118328 141364 107707 130653 140604 133261 128373 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application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip application/x-gzip 2.0 Custom terms specific to this dataset The ESC dataset 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>. The dataset consists of three parts: <ul> <li><a href="https://github.com/karoldvl/ESC-50">ESC-50</a>: a labeled set of 2 000 environmental recordings (50 classes, 40 clips per class),</li> <li><a href="https://github.com/karoldvl/ESC-10">ESC-10</a>: 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>ESC-US: an unlabeled dataset of 250 000 environmental recordings (5-second-long clips), suitable for unsupervised pre-training.</li> </ul> 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. 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>. 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>. <hr> 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. Acknowledgments 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. Notes