PP-2011-18: Clustering and classification of music by interval categories

PP-2011-18: Honingh, Aline and Bod, Rens (2011) Clustering and classification of music by interval categories. [Report]

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Abstract

In this paper, we present a novel approach to clustering and classification of music. The approach is based on the concept of interval categories, which is a theoretical, but perceptually motivated construct that groups sets of pitch events into six different categories each of which has its own musical character. A piece of music can be represented by six percentages that express the occurrences of each category in the piece. This piece of music can, in this way, be represented as one point in a six dimensional space. We choose the three most significant dimensions to visualize music from different composers and genres. We will see that, using this approach, automatic classification between tonal and atonal music is possible. Furthermore, we will present a successful visual clustering of 1) the three periods of Beethoven, 2) the genres Rock and Jazz, and 3) several composers through various musical time periods.

Item Type: Report
Report Nr: PP-2011-18
Series Name: Prepublication (PP) Series
Year: 2011
Uncontrolled Keywords: music; classification; genre; composers; intervals
Depositing User: ahoning1
Date Deposited: 12 Oct 2016 14:37
Last Modified: 12 Oct 2016 14:37
URI: https://eprints.illc.uva.nl/id/eprint/422

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