Yihong Qiu

Adaptive Prototype Learning for Anomalous Sound Detection with Partially Known Attributes

Adapting pre-trained models has become the dominant approach for anomalous sound detection (ASD), where classifying the attributes of machine working status is commonly chosen as the deputy task for fine-tuning. However, attributes might be intractable to collect for some machines, causing the label…