Visualization in comparative music research

Petri Toiviainen () and Tuomas Eerola ()
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Petri Toiviainen: University of Jyväskylä, Department of Music
Tuomas Eerola: University of Jyväskylä, Department of Music

A chapter in Compstat 2006 - Proceedings in Computational Statistics, 2006, pp 209-219 from Springer

Abstract: Abstract Computational analysis of large musical corpora provides an approach that overcomes some of the limitations of manual analysis related to small sample sizes and subjectivity. The present paper aims to provide an overview of the computational approach to music research. It discusses the issues of music representation, musical feature extraction, digital music collections, and data mining techniques. Moreover, it provides examples of visualization of large musical collections.

Keywords: Music; computational musicology; musical data mining; visualization (search for similar items in EconPapers)
Date: 2006
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-1709-6_16

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DOI: 10.1007/978-3-7908-1709-6_16

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