An Enhanced Contrastive Ensemble Learning Method for Anomaly Sound Detection

This paper proposes an enhanced contrastive ensemble learning method for anomaly sound detection. The proposed method achieves approximately 6% in the AUC metric in some categories and achieves state-of-the-art performance among self-supervised models on multiple benchmark datasets. The proposed met...

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Bibliographic Details
Main Authors: Jingneng Liao, Fei Yang, Xiaoqing Lu
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/3/1624