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

3 Citationer (Scopus)
781 Downloads (Pure)

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.

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
Land/OmrådePolen
ByPoznań
Periode03/09/200707/09/2007

Fingeraftryk

Dyk ned i forskningsemnerne om 'A Framework for Analysis of Music Similarity Measures'. Sammen danner de et unikt fingeraftryk.

Citationsformater