Fig. 14
From: Piano multipitch estimation using sparse coding embedded deep learning
AMT results of the first 30 s of “MAPS_MUS-bk_xmas5_ENSTDkCl” produced by plain MPENet, where green indicates true positives, red indicates false negatives and blue indicates false positives. A typical case of false positives is extra note detection in some chords. A typical case of false negatives is where more than 7 notes are active simultaneously (MPENet can detect the attacks, but not the decays)