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Goldsmiths - University of London

Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs. Human Judgments

Müllensiefen, Daniel and Frieler, Klaus. 2004. Cognitive Adequacy in the Measurement of Melodic Similarity: Algorithmic vs. Human Judgments. Computing in Musicology, 13, pp. 147-176. [Article]

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Abstract or Description

Melodic similarity is a central concept in many sub-disciplines of musicology, as well as for many computer-based applications that deal with the classifications and retrieval of melodic material. This paper describes a research paradigm for finding an `optimal' similarity measure out of a multitude of different approaches and algorithmic variants. The repertory used in this study are short melodies from popular (pop) songs and the empirical data for validation stem from two extensive listener experiments with expert listeners (musicology students). The different approaches to melodic-similarity measurement are first discussed and mathematically systematized. Detailed description of the listener experiments is given and the results are discussed. Strengths and weaknesses of the several tested similarity measures are outlined and an `optimal' similarity measure for this specific melodic repertory is proposed.

Item Type: Article

Departments, Centres and Research Units:

Psychology

Dates:

DateEvent
2004Published

Item ID:

5389

Date Deposited:

28 Mar 2011 10:26

Last Modified:

04 Jul 2017 10:17

URI: http://research.gold.ac.uk/id/eprint/5389
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