How Can We Detect Anomalous Sounds More Efficiently?

画像: 残響除去と雑音除去は機械の異常検知の精度を向上させるか?(英語)

Nowadays, a shortage of skilled workers has become a serious societal issue that necessitates an automated system for machinery maintenance. Sound-monitoring systems for checking a machine's operational condition ("machine health" hereafter) have become promising for supporting or replacing skilled maintenance technicians who listen for sounds from machinery and judge the overall condition of a machine. A practical technology for "acoustic-scene classification" is necessary to properly detect anomalous sound from normal conditions.


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