Chordify Annotator Subjectivity Dataset

Hendrik Vincent Koops, W.B. de Haas, A. Volk, J. Bransen, John Ashley Burgoyne

    Research output: Contribution to conferenceOtherOther research output


    Reference annotation datasets containing harmony annotations are at the core of a wide range of studies in music information retrieval and related fields. The majority of these datasets contain single reference annotations describing the harmony of each piece or song. Nevertheless, music theoretical insights on harmonic ambiguity and studies showing differences among annotators in many MIR tasks make the notion of a single “ground-truth” reference annotation a tenuous one. In order to gain a better understanding of differences between harmony annotators, we introduce the Chordify Annotator Subjectivity Dataset (CASD) containing chord labels for fifty songs from four annotators.
    Original languageEnglish
    Number of pages2
    Publication statusPublished - 23 Oct 2017
    EventInternational Society for Music Information Retrieval Conference 2017 - National University of Singapore Research Institute (NUSRI), Suzhou, China
    Duration: 23 Oct 201727 Oct 2017


    ConferenceInternational Society for Music Information Retrieval Conference 2017
    Abbreviated titleISMIR 2017
    Internet address


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