ESC-50: Dataset for Environmental Sound Classification

The ESC-50 dataset is a labeled collection of 2000 environmental audio recordings suitable for benchmarking methods of environmental sound classification.

The dataset consists of 5-second-long recordings organized into 50 semantical classes (with 40 examples per class) loosely arranged into 5 major categories:

Animals	Natural soundscapes & water sounds	Human, non-speech sounds	Interior/domestic sounds	Exterior/urban noises
Dog	Rain	Crying baby	Door knock	Helicopter
Rooster	Sea waves	Sneezing	Mouse click	Chainsaw
Pig	Crackling fire	Clapping	Keyboard typing	Siren
Cow	Crickets	Breathing	Door, wood creaks	Car horn
Frog	Chirping birds	Coughing	Can opening	Engine
Cat	Water drops	Footsteps	Washing machine	Train
Hen	Wind	Laughing	Vacuum cleaner	Church bells
Insects (flying)	Pouring water	Brushing teeth	Clock alarm	Airplane
Sheep	Toilet flush	Snoring	Clock tick	Fireworks
Crow	Thunderstorm	Drinking, sipping	Glass breaking	Hand saw

Clips in this dataset have been manually extracted from public field recordings gathered by the Freesound.org project. The dataset has been prearranged into 5 folds for comparable cross-validation, making sure that fragments from the same original source file are contained in a single fold.

A more thorough description of the dataset is available in the original paper with some supplementary materials on GitHub: ESC: Dataset for Environmental Sound Classification - paper replication data.

Content

• audio/*.wav

  2000 audio recordings in WAV format (5 seconds, 44.1 kHz, mono) with the following naming convention:

  {FOLD}-{CLIP_ID}-{TAKE}-{TARGET}.wav

  • {FOLD} - index of the cross-validation fold,
  • {CLIP_ID} - ID of the original Freesound clip,
  • {TAKE} - letter disambiguating between different fragments from the same Freesound clip,
  • {TARGET} - class in numeric format [0, 49].

• esc50.csv

  CSV file with the following structure:

filename	fold	target	category	esc10	src_file	take

The esc10 column indicates if a given file belongs to the ESC-10 subset (10 selected classes, CC BY license).

License

The dataset is available under the terms of the Creative Commons Attribution Non-Commercial license.

A smaller subset (clips tagged as ESC-10) is distributed under CC BY (Attribution).

Attributions for each clip are available in the LICENSE file.

Citing

If you find this dataset useful in an academic setting please cite:

K. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015.

[DOI: http://dx.doi.org/10.1145/2733373.2806390] @inproceedings{piczak2015dataset, title = {{ESC}: {Dataset} for {Environmental Sound Classification}}, author = {Piczak, Karol J.}, booktitle = {Proceedings of the 23rd {Annual ACM Conference} on {Multimedia}}, date = {2015-10-13}, url = {http://dl.acm.org/citation.cfm?doid=2733373.2806390}, doi = {10.1145/2733373.2806390}, location = {{Brisbane, Australia}}, isbn = {978-1-4503-3459-4}, publisher = {{ACM Press}}, pages = {1015--1018} }

Caveats

Please be aware of potential information leakage while training models on ESC-50, as some of the original Freesound recordings were already preprocessed in a manner that might be class dependent (mostly bandlimiting). Unfortunately, this issue went unnoticed when creating the original version of the dataset. Due to the number of methods already evaluated on ESC-50, no changes rectifying this issue will be made in order to preserve comparability.

This dataset cloned from this repository: @karolpiczak/ESC-50