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Harasim, D., Affatato, G., & Moss, F. C. (2022). midiVERTO: A Web Application to Visualize Tonality in Real Time. In M. Montiel, O. A. Agustín-Aquino, F. Gómez, J. Kastine, E. Lluis-Puebla, & B. Milam (Eds.), Mathematics and Computation in Music: 8th International Conference, MCM 2022, Atlanta, GA, USA, June 21–24, 2022 : proceedings (pp. 363-368). (Lecture Notes in Computer Science; Vol. 13267), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-07015-0_31
Moss, F. C., Neuwirth, M., & Rohrmeier, M. (2022). The line of fifths and the co-evolution of tonal pitch-classes. Journal of Mathematics and Music. https://doi.org/10.1080/17459737.2022.2044927
Viaccoz, C., Harasim, D., Moss, F. C., & Rohrmeier, M. (2022). Wavescapes: A Visual Hierarchical Analysis of Tonality Using the Discrete Fourier Transform. Musicae Scientiae. https://doi.org/10.1177/10298649211034906
2021
Anzuoni, E., Ayhan, S., Dutto, F., McLeod, A., Moss, F. C., & Rohrmeier, M. (2021). A Historical Analysis of Harmonic Progressions Using Chord Embeddings. In D. A. Mauro, S. Spagnol, & A. Valle (Eds.), SMC 2021 - Proceedings of the 18th Sound and Music Computing Conference (pp. 284-291). (Proceedings of the Sound and Music Computing Conferences; Vol. 2021-June). Sound and Music Computing Network.
Harasim, D., Moss, F. C., Ramirez, M., & Rohrmeier, M. (2021). Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music. Humanities and Social Sciences Communications, 8, 1-11. https://doi.org/10.1057/s41599-020-00678-6
Moss, F. C., Köster, M., Femminis, M., Métrailler, C., & Bavaud, F. (2021). Digitizing a 19th-century music theory debate for computational analysis. In CHR 2021: Computational Humanities Research Conference (Vol. 2989, pp. 159-170). (CEUR Workshop Proceedings).
2020
Moss, F. C., Souza, W. F., & Rohrmeier, M. (2020). Harmony and form in Brazilian Choro: A corpus-driven approach to musical style analysis. Journal of New Music Research, 49(5), 416-437. https://doi.org/10.1080/09298215.2020.1797109
2019
Landsnes, K., Mehrabyan, L., Wiklund, V., Lieck, R., Moss, F. C., & Rohrmeier, M. (2019). A model comparison for chord prediction on the annotated beethoven corpus. In I. Barbancho, L. J. Tardon, A. Peinado, & A. M. Barbancho (Eds.), Proceedings of the 16th Sound and Music Computing Conference, SMC 2019 (pp. 250-254). (Proceedings of the Sound and Music Computing Conferences). CERN.
Moss, F. C., Neuwirth, M., Harasim, D., & Rohrmeier, M. (2019). Statistical characteristics of tonal harmony: A corpus study of Beethoven’s string quartets. PLoS ONE, 14(6), [e0217242]. https://doi.org/10.1371/journal.pone.0217242
Popescu, T., Neuser, M. P., Neuwirth, M., Bravo, F., Mende, W., Boneh, O., Moss, F. C., & Rohrmeier, M. (2019). The pleasantness of sensory dissonance is mediated by musical style and expertise. Scientific Reports, 9(1), [1070]. https://doi.org/10.1038/s41598-018-35873-8
2021
Moss, F. C., & Neuwirth, M. (2021). FAIR, Open, Linked: Introducing the Special Issue on Open Science in Musicology. Empirical Musicology Review, 16(1), 1-4. https://doi.org/10.18061/emr.v16i1.8246
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