id="p0005">This is the first study using audio signals for progressive die wear monitoring.
id="p0010">Signal extraction recovers audio generated by stamping from corrupted recordings.
id="p0015">Audio spectra and band power variations show good correlation with wear level.
id="p0020">Signal strength increment can be detected significantly prior to process failure.
id="p0025">Extracted signal shows strong correlation with increasing wear at 4.2–5.4 kHz range.