DESED dataset is a dataset designed to recognize sound event classes in domestic environments.
This dataset is designed to be used for sound event detection (SED, recognize events with their time boundaries) but it can also be used for audio tagging (AT, indicate presence of an event in an audio file).
For now, the dataset is composed of 10 event classes to recognize in 10 second audio files.
Classes: Alarm/bell/ringing, Blender, Cat, Dog, Dishes,
Electric shaver/toothbrush, Frying, Running water, Speech, Vacuum cleaner.
To download the dataset, you can visit the dedicated github repo with the instructions: https://github.com/turpaultn/DESED.
If you have any remark or question you can post a comment in the FAQ page.