Symbolic Melodic Similarity: State of the Art and Future Challenges

Velardo, Valerio, Vallati, Mauro and Jan, Steven (2016) Symbolic Melodic Similarity: State of the Art and Future Challenges. Computer Music Journal, 40 (2). pp. 70-83. ISSN 0148-9267

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Abstract

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

Item Type:	Article
Subjects:	M Music and Books on Music > M Music Q Science > QA Mathematics > QA76 Computer software
Schools:	School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Music, Humanities and Media School of Computing and Engineering
Related URLs:	Author Author
Depositing User:	Mauro Vallati
Date Deposited:	24 Feb 2016 15:22
Last Modified:	07 Jan 2017 17:27
URI:	http://eprints.hud.ac.uk/id/eprint/27292

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