Chordify Annotator Subjectivity Dataset
Publication date
2017-10-23
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Abstract
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.
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Koops, H V, de Haas, W B, Volk, A, Bransen, J & Burgoyne, J A 2017, 'Chordify Annotator Subjectivity Dataset', International Society for Music Information Retrieval Conference 2017, Suzhou, China, 23/10/17 - 27/10/17. < https://ismir2017.smcnus.org/lbds/Koops2017.pdf >, conference