2023
Activity-Informed Industrial Audio Anomaly Detection Via Source Separation
ICASSP 2023accepted
We discuss a practical scenario of anomaly detection for industrial sound data where the sound of a target machine is corrupted by not only noise from plant environments but also interference from neighboring machines. This is particularly challenging since the interfering sounds are virtually indis…