2020
Enhancing the Labelling of Audio Samples for Automatic Instrument Classification Based on Neural Networks
ICASSP 2020accepted
The polyphonic OpenMIC-2018 dataset is based on weak and incomplete labels. The automatic classification of sound events, based on the VGGish bottleneck layer as proposed before by the AudioSet, implies the classification of only one second at a time, making it hard to find the label of that exact m…