Soonhyeon Choi

Noisy-Arcmix: Additive Noisy Angular Margin Loss Combined With Mixup For Anomalous Sound Detection

Unsupervised anomalous sound detection (ASD) aims to identify anomalous sounds by learning the features of normal operational sounds and sensing their deviations. Recent approaches have focused on the self-supervised task utilizing the classification of normal data, and advanced models have shown th…