2024
Exploring Large Scale Pre-Trained Models for Robust Machine Anomalous Sound Detection
ICASSP 2024accepted
Machine anomalous sound detection is a useful technique for various applications, but it often suffers from poor generalization due to the challenges of data collection and complex acoustic environment. To address this issue, we propose a robust machine anomalous sound detection model that leverages…