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    • Explaining the decisions of anomalous sound detectors 

      Mai, KT; Davies, T; Griffi, LD; Benetos, E; 7th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE) (2022-11-03)
      Deciding whether a sound is anomalous is accomplished by comparing it to a learnt distribution of inliers. Therefore, learning a distribution close to the true population of inliers is vital for anomalous sound detection ...