Why do Angular Margin Losses work well for Semi-Supervised Anomalous Sound Detection?

Kevin Wilkinghoff, Frank Kurth

State-of-the-art anomalous sound detection systems often utilize angular margin losses to learn suitable representations of acoustic data using an auxiliary task, which usually is…