DESED (Domestic environment sound event detection)

Introduced by Turpault et al. in Sound event detection in domestic environments withweakly labeled data and soundscape synthesis

The DESED dataset is a dataset designed to recognize sound event classes in domestic environments. The dataset is designed to be used for sound event detection (SED, recognize events with their time boundaries) but it can also be used for sound event tagging (SET, indicate presence of an event in an audio file). The dataset is composed of 10 event classes to recognize in 10 second audio files. The classes are: Alarm/bell/ringing, Blender, Cat, Dog, Dishes, Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner.

Source: https://project.inria.fr/desed/

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