2022
Ambiguity Modelling with Label Distribution Learning for Music Classification
ICASSP 2022accepted
An important amount of work has been devoted to the task of music classification. Despite promising results achieved by convolutional neural networks, there still exists a gap left to be filled for such models to perform well in real-world applications. In this work, we address the issue of ambiguit…