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research-article

Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy

Published: 01 December 2013 Publication History

Abstract

To assess the performance of an automatic chord estimation system, reference annotations are indispensable. However, owing to the complexity of music and the sometimes ambiguous harmonic structure of polyphonic music, chord annotations are inherently subjective, and as a result any derived accuracy estimates will be subjective as well. In this paper, we investigate the extent of the confounding effect of subjectivity in reference annotations. Our results show that this effect is important, and they affect different types of automatic chord estimation systems in different ways. Our results have implications for research on automatic chord estimation, but also on other fields that evaluate performance by comparing against human provided annotations that are confounded by subjectivity.

Cited By

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  • (2024)From Music Scores to Audio Recordings: Deep Pitch-Class Representations for Measuring Tonal StructuresJournal on Computing and Cultural Heritage 10.1145/365910317:3(1-19)Online publication date: 31-Jul-2024
  • (2021)Schubert Winterreise DatasetJournal on Computing and Cultural Heritage 10.1145/342974314:2(1-18)Online publication date: 8-May-2021
  • (2020)Automatic Chord Labelling: A Figured Bass ApproachProceedings of the 7th International Conference on Digital Libraries for Musicology10.1145/3424911.3425513(27-31)Online publication date: 16-Oct-2020
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  1. Understanding Effects of Subjectivity in Measuring Chord Estimation Accuracy

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    cover image IEEE Transactions on Audio, Speech, and Language Processing
    IEEE Transactions on Audio, Speech, and Language Processing  Volume 21, Issue 12
    December 2013
    170 pages

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    IEEE Press

    Publication History

    Published: 01 December 2013

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    Cited By

    View all
    • (2024)From Music Scores to Audio Recordings: Deep Pitch-Class Representations for Measuring Tonal StructuresJournal on Computing and Cultural Heritage 10.1145/365910317:3(1-19)Online publication date: 31-Jul-2024
    • (2021)Schubert Winterreise DatasetJournal on Computing and Cultural Heritage 10.1145/342974314:2(1-18)Online publication date: 8-May-2021
    • (2020)Automatic Chord Labelling: A Figured Bass ApproachProceedings of the 7th International Conference on Digital Libraries for Musicology10.1145/3424911.3425513(27-31)Online publication date: 16-Oct-2020
    • (2020)Automatic chord label personalization through deep learning of shared harmonic interval profilesNeural Computing and Applications10.1007/s00521-018-3703-y32:4(929-939)Online publication date: 1-Feb-2020
    • (2017)Music chord recommendation of self composed melodic lines for making instrumental soundMultimedia Tools and Applications10.1007/s11042-016-3984-z76:16(17255-17271)Online publication date: 1-Aug-2017
    • (2017)Adapting Supervised Classification Algorithms to Arbitrary Weak Label ScenariosAdvances in Intelligent Data Analysis XVI10.1007/978-3-319-68765-0_21(247-259)Online publication date: 26-Oct-2017
    • (2014)Automatic Chord Estimation from AudioIEEE/ACM Transactions on Audio, Speech and Language Processing10.1109/TASLP.2013.229458022:2(556-575)Online publication date: 1-Feb-2014

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