How Can We Detect Anomalous Sounds More Efficiently?
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.
