First-Shot Unsupervised Anomalous Sound Detection with Unknown Anomalies Estimated by Metadata-Assisted Audio Generation.
Hejing ZhangQiaoxi ZhuJian GuanHaohe LiuFeiyang XiaoJiantong TianXinhao MeiXubo LiuWenwu WangPublished in: ICASSP (2024)
Keyphrases
- anomaly detection
- metadata
- audio content
- detect anomalies
- anomalous behavior
- multimedia
- detection algorithm
- detecting anomalous
- unsupervised learning
- intrusion detection
- digital libraries
- normal behavior
- signal processing
- learning objects
- object detection
- visual information
- multimedia content
- multimedia information
- databases
- detection rate
- video sequences
- audio visual
- audio signal
- detection method
- visual features
- information resources
- audio features
- dublin core
- shot boundary detection
- abnormal behavior
- shot detection
- semi supervised
- network attacks
- environmental sounds