Abstract

Fostered by the introduction of the Music Information Retrieval Evaluation Exchange (MIREX) competition, the number of systems that calculate symbolic melodic similarity has recently increased considerably. To understand the state of the art, we provide a comparative analysis of existing algorithms. The analysis is based on eight criteria that help to characterize the systems, highlighting strengths and weaknesses. We also propose a taxonomy that classifies algorithms based on their approach. Both taxonomy and criteria are fruitfully exploited to provide input for new, forthcoming research in the area.

Original languageEnglish
Pages (from-to)70-83
Number of pages14
JournalComputer Music Journal
Volume40
Issue number2
Early online date26 May 2016
DOIs
Publication statusPublished - 2016

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Taxonomies
Information retrieval
Taxonomy
Evaluation
Comparative Analysis
Music Information Retrieval

Cite this

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title = "Symbolic melodic similarity: State of the art and future challenges",
abstract = "Fostered by the introduction of the Music Information Retrieval Evaluation Exchange (MIREX) competition, the number of systems that calculate symbolic melodic similarity has recently increased considerably. To understand the state of the art, we provide a comparative analysis of existing algorithms. The analysis is based on eight criteria that help to characterize the systems, highlighting strengths and weaknesses. We also propose a taxonomy that classifies algorithms based on their approach. Both taxonomy and criteria are fruitfully exploited to provide input for new, forthcoming research in the area.",
author = "Valerio Velardo and Mauro Vallati and Steven Jan",
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Symbolic melodic similarity : State of the art and future challenges. / Velardo, Valerio; Vallati, Mauro; Jan, Steven.

In: Computer Music Journal, Vol. 40, No. 2, 2016, p. 70-83.

Research output: Contribution to journalArticle

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