Unsupervised Anomaly Detection In Sound
1 papers with code • 0 benchmarks • 0 datasets
This task has no description! Would you like to contribute one?
Benchmarks
These leaderboards are used to track progress in Unsupervised Anomaly Detection In Sound
No evaluation results yet. Help compare methods by
submitting
evaluation metrics.
Most implemented papers
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma
To calculate the TPR in the objective function, we consider that the set of anomalous sounds is the complementary set of normal sounds and simulate anomalous sounds by using a rejection sampling algorithm.