A model selection test for factors affecting the choice of expressive timing clusters for a phrase

Shengchen Li, Simon Dixon, Dawn A.A. Black, Mark D. Plumbley

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

1 Citation (Scopus)

Abstract

We model expressive timing for a phrase in performed classical music as being dependent on two factors: the expressive timing in the previous phrase and the position of the phrase within the piece. We present a model selection test for evaluating candidate models that assert different dependencies for deciding the Cluster of Expressive Timing (CET) for a phrase. We use cross entropy and Kullback Leibler (KL) divergence to evaluate the resulting models: with these criteria we find that both the expressive timing in the previous phrase and the position of the phrase in the music score affect expressive timing in a phrase. The results show that the expressive timing in the previous phrase has a greater effect on timing choices than the position of the phrase, as the phrase position only impacts the choice of expressive timing in combination with the choice of expressive timing in the previous phrase.

Original languageEnglish
Title of host publicationSMC 2016 - 13th Sound and Music Computing Conference, Proceedings
EditorsRolf Grossmann, Georg Hajdu
PublisherZentrum fur Mikrotonale Musik und Multimediale Komposition (ZM4), Hochschule fur Musik und Theater
Pages247-252
Number of pages6
ISBN (Electronic)9783000537004
Publication statusPublished - 2016
Externally publishedYes
Event13th Sound and Music Computing Conference, SMC 2016 - Hamburg, Germany
Duration: 31 Aug 20193 Sept 2019

Publication series

NameSMC 2016 - 13th Sound and Music Computing Conference, Proceedings

Conference

Conference13th Sound and Music Computing Conference, SMC 2016
Country/TerritoryGermany
CityHamburg
Period31/08/193/09/19

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