Dataset for Environmental Sound Classification, 50 classes

sounds

General information

Label Value Description
Name Dataset for Environmental Sound Classification, 50 classes Full dataset name
ID sounds/esc_50 Datalist id for external indexing
Abbreviation ESC-50 Official dataset abbreviation, e.g. one used in the original paper
Provider ESC
Year 2015 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name ESC dataset Common name for all related datasets, used to group datasets coming from same source
Research domain Tagging Weak annotation Related domains, e.g., Scenes, Mobile devices, Audio-visual, Open set, Ambient noise, Unlabelled, Multiple sensors, SED, SELD, Tagging, FL, Strong annotation, Weak annotation, Unlabelled, Multi-annotator
Related datasets name
License Creative Commons, CC BY-NC 3.0
Download Download
Citation [Piczak2015] ESC: Dataset for Environmental Sound Classification

Audio

Label Value Description

Data

Data type Audio Possible values: Audio | Features
File format
File format type Constant Possible values: Constant | Variable
File format wav Possible value: wav | aiff | flac | mp3 | aac | ogg
Lossy compression No is audio compressed in a lossy manner
Bit rate 16 Bit depth of audio, possible values: 8 | 16 | 24 | 32
Sampling rate (kHz) 44.1 kHz Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48
Channels
Setup Mono Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 1
Material
Source Freesound Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

Content

Content type Freefield Possible values: Freefield | Synthetic | Isolated

Recording

Setup Unknown Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Spot type Unknown Possible values: Fixed | Moving | Unknown

Files

Count 2000 files Total number of files
Total duration (minutes) 166.67 min Total duration of the dataset in minutes
File length Constant Characterization of the file lengths, possible values: Constant | Quasi-constant | Variable
File length (seconds) 5 sec Approximate length of files

Meta

Label Value Description
Types Tag List of meta data types provided for the data, possible values: Event, Tag, Scene, Caption, Geolocation, Spatial location, Annotator, Timestamp, Presence, Proximity, etc.

Event

Classes 50 Number of event classes
Classes True Possible values: True | False | Almost
Classes
  • airplane
  • breathing
  • brushing teeth
  • car horn
  • cat
  • chainsaw
  • chirping birds
  • church bells
  • clapping
  • clock alarm
  • clock tick
  • coughing
  • cow
  • crackling fire
  • crickets
  • crow
  • crying baby
  • dog
  • door knock
  • drinking
  • engine
  • fireworks
  • footsteps
  • frog
  • glass breaking
  • hand saw
  • helicopter
  • hen
  • insects
  • keyboard typing
  • laughing
  • mouse click
  • pig
  • pouring water
  • rain
  • rooster
  • sea waves
  • sheep
  • siren
  • sneezing
  • snoring
  • thunderstorm
  • toilet flush
  • train
  • washing machine
  • water drops
  • wind
  • wood door creaks
Annotation
Type Weak Possible values: Strong | Weak | Location | None
Source Metadata Possible values: Experts | Crowdsourced | Synthetic | Metadata | Automatic
Annotations per item 1 How many annotations there are available per item (possible multi-annotator setup)
Labelled amount (%) 100 % Percentage of all data, amount of data which is labelled
Strong annotations amount (%) 0 % Percentage of all data, amount of data which has strong annotations
Overlapping event instances No
Labeling
Hierarchical Yes
Ontology name Yes
Instance
Count 2000 Count of all event instances in the dataset
Average instances per class 40 Average per class instance count

Cross-validation setup

Label Value Description
Provided Yes
Folds 5

Baseline

Label Value Description
Download Download Link to baseline system source code
Citation [Piczak2015] Paper to cite for the baseline