Luan Vinícius Fiorio

Semi-Supervised Learning with Per-Class Adaptive Confidence Scores for Acoustic Environment Classification with Imbalanced Data

In this paper, we concentrate on the per-class accuracy of neural network-based classification in the context of identifying acoustic environments. Even a fully supervised learning framework with an equal amount of data for each class can lead to significant differences in class accuracies. This is…