2022
Self-Supervised Acoustic Anomaly Detection Via Contrastive Learning
ICASSP 2022accepted
We propose an acoustic anomaly detection algorithm based on the framework of contrastive learning. Contrastive learning is a recently proposed self-supervised approach that has shown promising results in image classification and speech recognition. However, its application in anomaly detection is un…