265 citations · 714 across the 33 of their papers we have counts for
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eess.AS2023
Evaluating Classification Systems Against Soft Labels with Fuzzy Precision and Recall
Manu Harju, Annamaria Mesaros
Classification systems are normally trained by minimizing the cross-entropy between system outputs and reference labels, which makes the Kullback-Leibler divergence a natural choic…
eess.AS2023★ 4 cited
Training sound event detection with soft labels from crowdsourced annotations
Irene Martín-Morató, Manu Harju, Paul Ahokas +1
In this paper, we study the use of soft labels to train a system for sound event detection (SED). Soft labels can result from annotations which account for human uncertainty about…
eess.AS2023★ 1 cited
Incremental Learning of Acoustic Scenes and Sound Events
Manjunath Mulimani, Annamaria Mesaros
In this paper, we propose a method for incremental learning of two distinct tasks over time: acoustic scene classification (ASC) and audio tagging (AT). We use a simple convolution…