References
- 1Bigo, L., Feisthauer, L., Giraud, M., and Levé, F. (2018). Relevance of musical features for cadence detection. In Proceedings of the 19th International Society for Music Information Retrieval Conference, pages 355–361, Paris, France.
- 2Chen, T.-P., and Su, L. (2018). Functional harmony recognition of symbolic music data with multi-task recurrent neural networks. In Proceedings of the 19th International Society for Music Information Retrieval Conference, pages 90–97, Paris, France.
- 3Chen, T.-P., and Su, L. (2021). Attend to chords: Improving harmonic analysis of symbolic music using Transformer-based models. Transactions of the International Society for Music Information Retrieval, 4(1):1–13. DOI: 10.5334/tismir.65
- 4Cuthbert, M. S. and Ariza, C. (2010). Music21: A toolkit for computer-aided musicology and symbolic music data. In Proceedings of the 11th International Society for Music Information Retrieval Conference, pages 637–642, Utrecht, Netherlands.
- 5de Berardinis, J., Meroño-Peñuela, A., Poltronieri, A., and Presutti, V. (2023). ChoCo: A chord corpus and a data transformation workflow for musical harmony knowledge graphs. Scientific Data, 10:641. DOI: 10.1038/s41597-023-02410-w
- 6de Clercq, T., and Temperley, D. (2011). A corpus analysis of rock harmony. Popular Music, 30(1):47–70. DOI: 10.1017/S026114301000067X
- 7Devaney, J., Arthur, C., Condit-Schultz, N., and Nisula, K. (2015). Theme and variation encodings with Roman numerals (TAVERN): A new data set for symbolic music analysis. In Proceedings of the 16th International Society for Music Information Retrieval Conference, pages 728–734, Malaga, Spain.
- 8Dijkstra, E. W. (1982). Selected Writings on Computing: A Personal Perspective. Springer-Verlag, New York. DOI: 10.1007/978-1-4612-5695-3
- 9Giraud, M., Groult, R., and Leguy, E. (2018). Dezrann, a web framework to share music analysis. In Bhagwati, S. and Bresson, J., editors, Proceedings of the International Conference on Technologies for Music Notation and Representation (TENOR’18), pages 104–110, Montreal, Canada.
- 10Gotham, M., Gullings, K., Hamm, C., Hughes, B., Jarvis, B., Lavengood, M., and Peterson, J. (2021a). Open Music Theory. VIVA Pressbooks, 2nd edition.
- 11Gotham, M., and Jonas, P. (2021). The OpenScore Lieder Corpus. In Music Encoding Conference (MEC ’21).
- 12Gotham, M. R. H. (2021). Connecting the dots: Recognizing and implementing more kinds of “Open Science” to connect musicians and musicologists. Empirical Musicology Review, 16. DOI: 10.18061/emr.v16i1.7644
- 13Gotham, M. R. H. (2023). Chromatic chords in theory and practice. In Proceedings of the 24th International Society for Music Information Retrieval Conference, (forthcoming).
- 14Gotham, M. R. H., Hentschel, J., Couturier, L., Dykeaylen, N., Rohrmeier, M., and Giraud, M. (2023). The ‘Measure Map’: an inter-operable standard for aligning symbolic music. In Proceedings of the 10th International Conference on Digital Libraries for Musicology (DLfM ’23), forthcoming, New York, NY, USA. ACM. DOI: 10.1145/3625135.3625136
- 15Gotham, M. R. H., Kleinertz, R., Weiss, C., Muller, M., and Klauk, S. (2021b). What if the ‘when’ implies the ‘what’?: Human harmonic analysis datasets clarify the relative role of the separate steps in automatic tonal analysis. In Proceedings of the 22nd International Society for Music Information Retrieval Conference, pages 229–236.
- 16Harte, C., Sandler, M. B., Abdallah, S. A., and Gómez, E. (2005). Symbolic representation of musical chords: A proposed syntax for text annotations. In Proceedings of the 6th International Conference on Music Information Retrieval, pages 66–71, London, UK.
- 17Hentschel, J., Neuwirth, M., and Rohrmeier, M. (2021). The Annotated Mozart Sonatas: Score, harmony, and cadence. Transactions of the International Society for Music Information Retrieval, 4(1):67–80. DOI: 10.5334/tismir.63
- 18Huron, D. B. (2016). Voice Leading: The Science behind a Musical Art. MIT Press, Cambridge, Massachusetts. DOI: 10.7551/mitpress/9780262034852.001.0001
- 19Levy, M., and Sandler, M. B. (2007). A semantic space for music derived from social tags. In Proceedings of the 8th International Conference on Music Information Retrieval, pages 411–416, Vienna, Austria.
- 20Lewandowski, S. (2010). ›Fallende Quintanstiege‹. Zeitschrift der Gesellschaft fur Musiktheorie, 7(1):85–97. DOI: 10.31751/508
- 21McKay, C., Cumming, J., and Fujinaga, I. (2018). JSYMBOLIC 2.2: Extracting features from symbolic music for use in musicological and MIR research. In Proceedings of the 19th International Society for Music Information Retrieval Conference, pages 348–354, Paris, France.
- 22Micchi, G., Gotham, M., and Giraud, M. (2020). Not all roads lead to Rome: Pitch representation and model architecture for automatic harmonic analysis. Transactions of the International Society for Music Information Retrieval, 3(1):42–54. DOI: 10.5334/tismir.45
- 23Nápoles López, N. (2017). Joseph Haydn - String Quartets Op.20 - Harmonic Analysis Annotations Dataset.
https://zenodo.org/records/1095630 . - 24Nápoles López, N., Feisthauer, L., Levé, F., and Fujinaga, I. (2020). On local keys, modulations, and tonicizations: A dataset and methodology for evaluating changes of key. In 7th International Conference on Digital Libraries for Musicology, DLfM 2020, pages 18–26, New York, NY, USA.
ACM . DOI: 10.1145/3424911.3425515 - 25Nápoles López, N., Gotham, M. R. H., and Fujinaga, I. (2021). AugmentedNet: A Roman numeral analysis network with synthetic training examples and additional tonal tasks. Proceedings of the 22nd International Society for Music Information Retrieval Conference, pages 404–411.
- 26Neuwirth, M., Harasim, D., Moss, F. C., and Rohrmeier, M. (2018). The Annotated Beethoven Corpus (ABC): A dataset of harmonic analyses of all Beethoven string quartets. Frontiers in Digital Humanities, 5(16). DOI: 10.3389/fdigh.2018.00016
- 27Sears, D. R. W., Verbeten J. E., and Percival, H. M. (2023). Does order matter? Harmonic priming effects for scrambled tonal chord sequences. Journal of Experimental Psychology: Human Perception and Performance. DOI: 10.1037/xhp0001103
- 28Tymoczko, D., Gotham, M., Cuthbert, M. S., and Ariza, C. (2019). The RomanText format: A flexible and standard method for representing Roman numeral analyses. In Proceedings of the 20th International Society for Music Information Retrieval Conference, pages 123–129, Delft, Netherlands.
- 29Vatolkin, I., and McKay, C. (2022). Multi-objective investigation of six feature source types for multimodal music classification. Transactions of the International Society for Music Information Retrieval, 5:1–19. DOI: 10.5334/tismir.67
- 30White, C. W. and Quinn, I. (2016). The Yale-Classical Archives Corpus. Empirical Musicology Review, 11(1). DOI: 10.18061/emr.v11i1.4958
