Robust Audio Anomaly Detection

no code implementations • 3 Feb 2022 • Wo Jae Lee, Karim Helwani, Arvindh Krishnaswamy, Srikanth Tenneti

The presented approach doesn't assume the presence of labeled anomalies in the training dataset and uses a novel deep neural network architecture to learn the temporal dynamics of the multivariate time series at multiple resolutions while being robust to contaminations in the training dataset.

Anomaly Detection Time Series +1