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.
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Toiviainen, P., Eerola, T. (2006). Visualization in comparative music research. In: Rizzi, A., Vichi, M. (eds) Compstat 2006 - Proceedings in Computational Statistics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1709-6_16
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DOI: https://doi.org/10.1007/978-3-7908-1709-6_16
Publisher Name: Physica-Verlag HD
Print ISBN: 978-3-7908-1708-9
Online ISBN: 978-3-7908-1709-6
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