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When in Rome: A Meta-corpus of Functional Harmony.

, , , and . Trans. Int. Soc. Music. Inf. Retr., 6 (1): 150-166 (January 2023)

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Challenging Sources: A New Dataset for OMR of Diverse 19th-Century Music Theory Examples, , , and . Proceedings of the 4th International Workshop on Reading Music Systems (WoRMS 2022), page 4--8. Online, (2022)On Local Keys, Modulations, and Tonicizations: A Dataset and Methodology for Evaluating Changes of Key., , , and . DLfM, page 18-26. ACM, (2020)Key-Finding Based on a Hidden Markov Model and Key Profiles., , and . DLfM, page 33-37. ACM, (2019)AugmentedNet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks., , and . ISMIR, page 404-411. (2021)Data Quality Matters: Iterative Corrections on a Corpus of Mendelssohn String Quartets and Implications for MIR Analysis., , , , , , , , and . ISMIR, page 432-438. (2020)Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments., , , and . EvoMUSART@EvoStar, volume 13988 of Lecture Notes in Computer Science, page 413-427. Springer, (2023)19MT-OMR: A Dataset for Multimodal Optical Music Recognition, , , and . Data Report, OSF, (September 2022)When in Rome: A Meta-corpus of Functional Harmony., , , and . Trans. Int. Soc. Music. Inf. Retr., 6 (1): 150-166 (January 2023)