Danilo Hollosi

Active Learning for Sound Event Classification Using Bayesian Neural Networks with Gaussian Variational Posterior

Manual annotation of audio material is cumbersome. Active learning aims at minimizing the annotation effort by iteratively selecting an acquisition batch of unlabeled data, asking a human to annotate the selected data and re-training a classifier until an annotation budget is depleted. In this paper…