This short paper describes our three submissions to the 2014 edition of the MIREX Symbolic Melodic Similarity task. All three submissions rely on a geometric model that represents melodies as spline curves in the pitch-time plane. The similarity between two melodies is then computed with a sequence alignment algorithm between sequences of spline spans: the more similar the shape of the curves, the more similar the melodies they represent. As in the previous MIREX 2010, 2011, 2012 and 2013 editions, our systems ranked first for all effectiveness measures. The main difference with last year is that we submitted a re-implementation of all algorithms, contained in the new open source library MelodyShape.

This work was supported by an A4U postdoctoral grant and Sergio Ramos’ goal in the 93rd minute that lead us to win La Décima.