Enhancing Anomalous Sound Detection through Low-Rank Adaptation of Pre-Trained Audio Models

Leveraging pre-trained audio models with Low-Rank Adaptation fine-tuning can significantly improve the performance of anomalous sound detection systems, especially in challenging industrial environments with limited labeled data and domain shifts.