Re-visiting the music segmentation problem with crowdsourcing

Cheng I. Wang, Gautham J. Mysore, Shlomo Dubnov

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

4 Scopus citations

Abstract

Identifying boundaries in music structural segmentation is a well studied music information retrieval problem. The goal is to develop algorithms that automatically identify segmenting time points in music that closely matches human annotated data. The annotation itself is challenging due to its subjective nature, such as the degree of change that constitutes a boundary, the location of such boundaries, and whether a boundary should be assigned to a single time frame or a range of frames. Existing datasets have been annotated by small number of experts and the annotators tend to be constrained to specific definitions of segmentation boundaries. In this paper, we re-examine the annotation problem. We crowdsource the problem to a large number of annotators and present an analysis of the results. Our preliminary study suggests that although there is a correlation to existing datasets, this form of annotations reveals additional information such as stronger vs. weaker boundaries, gradual vs. sudden boundaries, and the difference in perception of boundaries between musicians and non-musicians. The study suggests that it could be worth re-defining certain aspects of the boundary identification in music structural segmentation problem with a broader definition.

Original languageEnglish
Title of host publicationProceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017
EditorsSally Jo Cunningham, Zhiyao Duan, Xiao Hu, Douglas Turnbull
PublisherInternational Society for Music Information Retrieval
Pages738-744
Number of pages7
ISBN (Electronic)9789811151798
StatePublished - 1 Jan 2017
Externally publishedYes
Event18th International Society for Music Information Retrieval Conference, ISMIR 2017 - Suzhou, China
Duration: 23 Oct 201727 Oct 2017

Publication series

NameProceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017

Conference

Conference18th International Society for Music Information Retrieval Conference, ISMIR 2017
Country/TerritoryChina
CitySuzhou
Period23/10/1727/10/17

ASJC Scopus subject areas

  • Music
  • Information Systems

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