- Bernabeu, J.F., Calera-Rubio, J., Iņesta, J.M., Rizo, D.
"A probabilistic approach to melodic similarity"
Proceedings of MML 2009, pp. 48-53
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Melodic similarity is an important research topic in music information retrieval.
The representation of symbolic music by means of trees has proven to be suitable
in melodic similarity computation, because they are able to code rhythm in their
structure leaving only pitch representations as a degree of freedom for coding.
In order to compare trees, different edit distances have been previously used.
In this paper, stochastic k-testable tree-models, formerly used in other domains
like structured document compression or natural language processing, have been
used for computing a similarity measure between melody trees as a probability
and their performance has been compared to a classical tree edit distance.
author = "Bernabeu, J.F., Calera-Rubio, J., Iņesta, J.M., Rizo, D.",
title = "A probabilistic approach to melodic similarity",
booktitle = "Proceedings of MML 2009",
pages = "48-53",
year = "2009"
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