Batch uniformization trains autoencoders for sound anomaly detection by minimizing a density-weighted average of anomaly scores estimated via kernel density estimation on mini-batches to achieve uniform scores for normal sounds.
Variational Autoencoder based Anomaly Detection using Reconstruction Probability
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Batch Uniformization for Minimizing Maximum Anomaly Score of DNN-based Anomaly Detection in Sounds
Batch uniformization trains autoencoders for sound anomaly detection by minimizing a density-weighted average of anomaly scores estimated via kernel density estimation on mini-batches to achieve uniform scores for normal sounds.