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:	Date Event 2004 Published
Item ID:	5389
Date Deposited:	28 Mar 2011 10:26
Last Modified:	04 Jul 2017 10:17
Peer Reviewed:	Yes, this version has been peer-reviewed.
URI:	https://research.gold.ac.uk/id/eprint/5389

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