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Info page |
Name |
Collection name |
Related datasets |
Provider | Abbreviation | D | S | License | Size | Year | Cite | Paper title |
General domains |
Data modalities |
Total duration (min) |
Files |
Length consistency |
File length (sec) |
Content type |
Scene content |
Unique event instances in synthetic mixtures |
Recording setup type |
Recording setups |
Recording spot type |
Data type |
Material source |
Variability source |
Audio type |
Format |
Lossy compression |
Bit rate |
Sampling rate |
Channel setup |
Channels |
Meta types |
Scene classes |
Scene class balance |
Scene class list |
Event classes |
Event list |
Event instance count |
Event instance per class |
Event class balance |
Event annotation type |
Event annotation source |
Event ann. overlapping instances |
Event ann. labelled |
Event ann. validated |
Event ann. strong |
Event labeling / hierarchical |
Event labeling / ontology |
Data split |
Split sets |
Split folds |
Baseline |
Baseline cite |
Evaluation campaigns | Comments |
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This data list pulls together various type of datasets containing everyday sounds. These datasets are suitable for research focusing on sound event detection, sound event detection and localization, or audio tagging. A sound event corresponds to an audio segment that is attributed to a specific sound source and that is perceived as an entity. Sound event has start and end timestamps along with a textual label that is related to the sound source. Some datasets in this list contains either the strong annotations, annotations with start and end timestamps, or weak annotations, annotations with sound presence at clip/time-segment level.