Shuxin Liu

Multi-Attention Enhanced Discriminator for GAN-Based Anomalous Sound Detection

Generative adversarial networks (GAN) have been regarded as promising for anomalous sound detection (ASD) by training an unsupervised one-class classifier to pick out the anomalous sample. Existing GAN-based anomaly detection models usually focus on the generator to reduce the reconstruction error.…