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PerMix: Anomalous sound detection by predicting the perturbation ratio of mixed samples
In anomalous sound detection based on self-supervised learning, the performance of the detection model largely depends on the selection of the pretext task through which the characteristics of normal data are learned. A common pretext task is to mix samples from different classes and classify the mi
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