Abstract: Label noise in real-world datasets poses a significant challenge for deep neural networks, particularly in image classification tasks, where it disrupts learning and degrades performance.

Abstract: State-of-the-art anomalous sound detection (ASD) systems in domain-shifted conditions rely on projecting audio signals into an embedding space and using distance-based outlier detection to ...