2 papers
cs.SD2025
Contrastive Learning with Spectrum Information Augmentation in Abnormal Sound Detection
Xinxin Meng, Jiangtao Guo, Yunxiang Zhang +1
The outlier exposure method is an effective approach to address the unsupervised anomaly sound detection problem. The key focus of this method is how to make the model learn the di…
cs.SD2025
Noise Supervised Contrastive Learning and Feature-Perturbed for Anomalous Sound Detection
Shun Huang, Zhihua Fang, Liang He
Unsupervised anomalous sound detection aims to detect unknown anomalous sounds by training a model using only normal audio data. Despite advancements in self-supervised methods, th…