PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Melody track identification in music symbolic files
David Rizo, Pedro J. Ponce de Leon, Antonio Pertusa, Carlos Pérez-Sancho and José Iñesta
In: FLAIRS 2006, 11-13 May 2006, Melbourne Beach, Florida, USA.

Abstract

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 accompaniment. 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 descriptors from each track of the target file are extracted. These descriptors are the input to a random forest classifier that assigns to each track a 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.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Information Retrieval & Textual Information Access
ID Code:1553
Deposited By:José Iñesta
Deposited On:28 November 2005