A Framework for Analysis of Music Similarity Measures

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)
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Resumé

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.

OriginalsprogEngelsk
TitelProceedings of the 15th European Signal Processing Conference
Antal sider5
ForlagEURASIP Open Library
Publikationsdato2007
Sider926-930
StatusUdgivet - 2007
BegivenhedEuropean signal processing conference - Poznań, Polen
Varighed: 3 sep. 20077 sep. 2007
Konferencens nummer: 15

Konference

KonferenceEuropean signal processing conference
Nummer15
LandPolen
ByPoznań
Periode03/09/200707/09/2007

Fingerprint

music
song
instrumentation
experiment
software
analysis

Citer dette

Jensen, J. H., Christensen, M. G., & Jensen, S. H. (2007). A Framework for Analysis of Music Similarity Measures. I Proceedings of the 15th European Signal Processing Conference (s. 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. s. 926-930
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Jensen, JH, Christensen, MG & Jensen, SH 2007, A Framework for Analysis of Music Similarity Measures. i Proceedings of the 15th European Signal Processing Conference. EURASIP Open Library, s. 926-930, European signal processing conference, Poznań, Polen, 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. s. 926-930.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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