A Framework for Analysis of Music Similarity Measures

Jesper Højvang Jensen, Mads G. Christensen, Søren Holdt Jensen

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Abstract

To analyze specific properties of music similarity measures that the commonly used genre classification evaluation procedure does not reveal, we introduce a MIDI based test framework for music similarity measures. We introduce the framework by example and thus outline an experiment to analyze the dependency of a music similarity measure on the instrumentation of a song compared to the melody, and to analyze its sensitivity to transpositions.

Using the outlined experiment, we analyze music similarity measures from three software packages, namely Marsyas, MA toolbox and Intelligent Sound Processing toolbox. The tested timbral similarity measures perform instrument recognition relatively well, although they are sensitive to transpositions and differences between sound fonts. The beat/rhythm/melody similarity measures are not always able to recognize the same melody played with different instruments.

Original languageEnglish
Title of host publicationProceedings of the 15th European Signal Processing Conference
Number of pages5
PublisherEURASIP Open Library
Publication date2007
Pages926-930
Publication statusPublished - 2007
EventEuropean signal processing conference - Poznań, Poland
Duration: 3 Sep 20077 Sep 2007
Conference number: 15

Conference

ConferenceEuropean signal processing conference
Number15
CountryPoland
CityPoznań
Period03/09/200707/09/2007

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music
song
instrumentation
experiment
software
analysis

Cite this

Jensen, J. H., Christensen, M. G., & Jensen, S. H. (2007). A Framework for Analysis of Music Similarity Measures. In Proceedings of the 15th European Signal Processing Conference (pp. 926-930). EURASIP Open Library.
Jensen, Jesper Højvang ; Christensen, Mads G. ; Jensen, Søren Holdt. / A Framework for Analysis of Music Similarity Measures. Proceedings of the 15th European Signal Processing Conference. EURASIP Open Library, 2007. pp. 926-930
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Jensen, JH, Christensen, MG & Jensen, SH 2007, A Framework for Analysis of Music Similarity Measures. in Proceedings of the 15th European Signal Processing Conference. EURASIP Open Library, pp. 926-930, European signal processing conference, Poznań, Poland, 03/09/2007.

A Framework for Analysis of Music Similarity Measures. / Jensen, Jesper Højvang; Christensen, Mads G.; Jensen, Søren Holdt.

Proceedings of the 15th European Signal Processing Conference. EURASIP Open Library, 2007. p. 926-930.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Jensen, Søren Holdt

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AB - To analyze specific properties of music similarity measures that the commonly used genre classification evaluation procedure does not reveal, we introduce a MIDI based test framework for music similarity measures. We introduce the framework by example and thus outline an experiment to analyze the dependency of a music similarity measure on the instrumentation of a song compared to the melody, and to analyze its sensitivity to transpositions.Using the outlined experiment, we analyze music similarity measures from three software packages, namely Marsyas, MA toolbox and Intelligent Sound Processing toolbox. The tested timbral similarity measures perform instrument recognition relatively well, although they are sensitive to transpositions and differences between sound fonts. The beat/rhythm/melody similarity measures are not always able to recognize the same melody played with different instruments.

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Jensen JH, Christensen MG, Jensen SH. A Framework for Analysis of Music Similarity Measures. In Proceedings of the 15th European Signal Processing Conference. EURASIP Open Library. 2007. p. 926-930