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Goldsmiths - University of London

Classification in music research

Weihs, Claus; Ligges, Uwe; Mörchen, Fabian and Müllensiefen, Daniel. 2007. Classification in music research. Advances in Data Analysis and Classification, 1(3), pp. 255-291. ISSN 1862-5347 [Article]

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Abstract or Description

Since a few years, classification in music research is a very broad and quickly growing field. Most important for adequate classification is the knowledge of adequate observable or deduced features on the basis of which meaningful groups or classes can be distinguished. Unsupervised classification additionally needs an adequate similarity or distance measure grouping is to be based upon. Evaluation of supervised learning is typically based on the error rates of the classification rules. In this paper we first discuss typical problems and possible influential features derived from signal analysis, mental mechanisms or concepts, and compositional structure. Then, we present typical solutions of such tasks related to music research, namely for organization of music collections, transcription of music signals, cognitive psychology of music, and compositional structure analysis.

Item Type: Article

Identification Number (DOI):

https://doi.org/10.1007/s11634-007-0016-x

Departments, Centres and Research Units:

Psychology

Dates:

DateEvent
2007Published

Item ID:

5388

Date Deposited:

28 Mar 2011 10:23

Last Modified:

04 Jul 2017 10:17

URI: http://research.gold.ac.uk/id/eprint/5388
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