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 |
Condition classes |
Condition list |
Condition instance count |
Condition instance per class |
Condition class balance |
Condition annotation type |
Condition annotation source |
Condition ann. overlapping instances |
Condition ann. labelled |
Condition ann. validated |
Condition ann. strong |
Condition labeling / hierarchical |
Condition 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 anomalous sounds. These datasets are suitable for research focusing on anomalous sound detection (ASD) where the task is to identify whether the sound emitted from a target device/machine is normal or anomalous.