On symbolic music classification using wavelet transform

Gissel Velarde, Tillman Weyde

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

Abstract

This work investigates a new approach for symbolic music classification via continuous Haar wavelet transform, used as alternative representation and segmentation technique. The method was experimentally tested on the J.S. Bach’s 15 two-part inventions for keyboard. In music theory, the inventions are often described as developed coherently from a short melodic pattern that dominates the whole piece. Based on this premise, we take fragments of the inventions and try to identify the invention they belong to using a nearest neighbour classifier, which is based on the initial sections of all inventions. We compare combinations of wavelet and pitch vector representation and segmentations, as well as different lengths for the initial sections, and different ways of segmenting the sections and representing the segments, including melodic variations. The classification rates achieved by the combination of wavelet representation and segmentation are far better than those of pitch vectors and constant length segmentation, while including melodic variations yields only minimal rate changes.
OriginalsprogEngelsk
TitelInternational Conference on Applied and Theoretical Information Systems Research
UdgivelsesstedTaipei, Taiwan
ForlagAcademy of Taiwan Information Systems Research
Publikationsdato10 feb. 2012
ISBN (Trykt)2225-4560
StatusUdgivet - 10 feb. 2012
Udgivet eksterntJa
BegivenhedInternational Conference on Applied and Theoretical Information Systems Research - Hotel Address:No.1, Sec. 4, Zhongshan N. Rd., Zhongshan Dist., Taipei City 10461, Taiwan (R.O.C.), Taipei, Taiwan
Varighed: 10 feb. 201212 feb. 2012

Konference

KonferenceInternational Conference on Applied and Theoretical Information Systems Research
LokationHotel Address:No.1, Sec. 4, Zhongshan N. Rd., Zhongshan Dist., Taipei City 10461, Taiwan (R.O.C.)
Land/OmrådeTaiwan
ByTaipei
Periode10/02/201212/02/2012

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