2 papers
eess.AS2026
Quantitative Analysis of Proxy Tasks for Anomalous Sound Detection
Seunghyeon Shin, Seokjin Lee
Anomalous sound detection (ASD) typically involves self-supervised proxy tasks to learn feature representations from normal sound data, owing to the scarcity of anomalous samples.…
eess.AS2024
Representational learning for an anomalous sound detection system with source separation model
Seunghyeon Shin, Seokjin Lee
The detection of anomalous sounds in machinery operation presents a significant challenge due to the difficulty in generalizing anomalous acoustic patterns. This task is typically…