Dataset containing 51,197 audio clips from Freesound, totalling over 100h of audio
manually labeled using 200 classes drawn from the AudioSet Ontology.
To our knowledge, this is the largest fully-open dataset of human-labeled sound events ever released.
Check all the details in our paper.
Dataset collected with the aim of fostering the investigation of label
noise in sound event classification.
It contains 42.5 hours of audio across 20 sound classes, including a small amount of
manually-labeled data and a larger quantity of
real-world noisy data.
Described in its companion site and in our ICASSP 2019 paper.
by:
