1. Bernabeu, J. F.; Calera-Rubio, J.; Iņesta, J. M.; Rizo, D.

, vol. 5th workshop on Music and Machine Learning, MML 2012, pp. . Edinburgh (2012)

The tree representation, using rhythm for defining the tree structure and pitch infor- mation for node labeling has proven to be ef- fective in melodic similarity computation. In this paper we propose a solution representing melodies by tree grammars. For that, we in- fer a probabilistic context-free grammars for the melodies in a database, using their tree coding (with duration and pitch) and classify queries represented as a string of pitches. We aim to assess their ability to identify a noisy snippet query among a set of songs stored in symbolic format.