Melody Track Identification in Music Symbolic Files.
David Rizo, Pedro José Ponce de León Amador, Antonio Pertusa, Carlos Pérez-Sancho, Jose Manuel Iñesta · 2006
Standard MIDI files contain data that can be considered as a symbolic representation of music (a digital score), and most of them are structured as a number of tracks, one of them usually containing the melodic line of the piece, while the other tracks contain the accompani-ment. The objective of this work is to identify the track containing the melody using statistical properties of the notes and pattern recognition techniques. Finding that track is very useful for a number of applications, like melody matching when searching in MIDI databases or motif extraction, among others. First, a set of de-scriptors from each track of the target file are extracted. These descriptors are the input to a random forest clas-sifier that assigns the probability of being a melodic line to each track. The track with the highest probability is selected as the one containing the melodic line of that MIDI file. Promising results have been obtained testing a number of databases of different music styles.