Outputs (21)

Introducing the TISMIR Education Track: What, Why, How? (2024)
Journal Article
Müller, M., Dixon, S., Volk, A., Sturm, B. L. T., Rao, P., & Gotham, M. (2024). Introducing the TISMIR Education Track: What, Why, How?. Transactions of the International Society for Music Information Retrieval, 7(1), 85-98. https://doi.org/10.5334/tismir.199

This editorial introduces the new education track for the Transactions of the International Society for Music Information Retrieval (TISMIR) and aims to provide guidance to both prospective authors and users of this track’s material regarding its con... Read More about Introducing the TISMIR Education Track: What, Why, How?.

When in Rome: A Meta-corpus of Functional Harmony (2023)
Journal Article
Gotham, M., Micchi, G., López, N. N., & Sailor, M. (2023). When in Rome: A Meta-corpus of Functional Harmony. Transactions of the International Society for Music Information Retrieval, 6(1), 150-166. https://doi.org/10.5334/tismir.165

‘When in Rome’ brings together all human-made, computer-encoded, functional harmonic analyses of music. This amounts in total to over 2,000 analyses of 1,500 distinct works. The most obvious motivation is scale: gathering these datasets together lead... Read More about When in Rome: A Meta-corpus of Functional Harmony.

The 'Measure Map': An inter-operable standard for aligning symbolic music (2023)
Presentation / Conference Contribution
Gotham, M., Hentschel, J., Couturier, L., Dykeaylen, N., Rohrmeier, M., & Giraud, M. (2023). The 'Measure Map': An inter-operable standard for aligning symbolic music. In DLfM '23: Proceedings of the 10th International Conference on Digital Libraries for Musicology (91-99). https://doi.org/10.1145/3625135.3625136

Aligning versions of the same source material has been a persistent challenge in the field of digital libraries for musicology, and a barrier to progress. The growing number of publicly accessible symbolic datasets (of scores, analyses, and more) now... Read More about The 'Measure Map': An inter-operable standard for aligning symbolic music.

The “OpenScore String Quartet” Corpus (2023)
Presentation / Conference Contribution
Gotham, M., Redbond, M., Bower, B., & Jonas, P. (2023). The “OpenScore String Quartet” Corpus. In M. E. Thomae (Ed.), DLfM '23: Proceedings of the 10th International Conference on Digital Libraries for Musicology (49-57). https://doi.org/10.1145/3625135.3625155

The “OpenScore String Quartet” Corpus is a new dataset of historic works for string quartets, encoded by a dedicated team of volunteers, and released freely for all use cases (CC0). In creating this corpus, we built on the experience amassed during t... Read More about The “OpenScore String Quartet” Corpus.

Chromatic Chords in Theory and Practice (2023)
Presentation / Conference Contribution
Gotham, M. (2023). Chromatic Chords in Theory and Practice. In Proceedings of the 24th International Society for Music Information Retrieval Conference (272-278). https://doi.org/10.5281/zenodo.10265275

"Chromatic harmony" is seen as a fundamental part of (extended) tonal music in the Western classical tradition (c.1700–1900). It routinely features in core curricula. Yet even in this globalised and data-driven age, 1) there are significant gaps betw... Read More about Chromatic Chords in Theory and Practice.

Musical Micro-Timing for Live Coding (2023)
Presentation / Conference Contribution
Johnson, M., & Gotham, M. (2023). Musical Micro-Timing for Live Coding. In Proceedings of the 24th conference of the International Society for Music Information Retrieval (98-105). https://doi.org/10.5281/zenodo.10265231

Micro-timing is an essential part of human music-making, yet it is absent from most computer music systems. Partly to address this gap, we present a novel system for generating music with style-specific micro-timing within the Sonic Pi live coding la... Read More about Musical Micro-Timing for Live Coding.

Old Sources in new Sauces: John Joubert and the Analysis of Ancient Materials in Modern Music (2023)
Journal Article
Gotham, M. (2023). Old Sources in new Sauces: John Joubert and the Analysis of Ancient Materials in Modern Music. Intégral: The Journal of Applied Musical Thought, 36, 153-162

Anyone who has had sustained contact with Anglican choirs probably knows music by John Joubert; anyone who hasn’t probably doesn’t. This article begins by considering the starkness of those divisions between different kinds of canons, framing this in... Read More about Old Sources in new Sauces: John Joubert and the Analysis of Ancient Materials in Modern Music.

Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments (2023)
Presentation / Conference Contribution
Vatolkin, I., Gotham, M., Lόpez, N. N., & Ostermann, F. (2023). Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments. In C. Johnson, N. Rodríguez-Fernández, & S. M. Rebelo (Eds.), Artificial Intelligence in Music, Sound, Art and Design (413-427). https://doi.org/10.1007/978-3-031-29956-8_27

Deep learning has recently established itself as a cluster of methods of choice for almost all classification tasks in music information retrieval. However, despite very good classification performance, it sometimes brings disadvantages including lon... Read More about Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments.

What if the 'When' Implies the 'What'?: Human harmonic analysis datasets clarify the relative role of the separate steps in automatic tonal analysis. (2021)
Presentation / Conference Contribution
Gotham, M., Kleinertz, R., Weiß, C., Müller, M., & Klauk, S. (2021). What if the 'When' Implies the 'What'?: Human harmonic analysis datasets clarify the relative role of the separate steps in automatic tonal analysis. In J. H. Lee, A. Lerch, Z. Duan, J. Nam, P. Rao, P. V. Kranenburg, & A. Srinivasamurthy (Eds.), Proceedings of the 22nd International Society for Music Information Retrieval Conference (229-236)

This paper uses the emerging provision of human harmonic analyses to assess how reliably we can map from knowing only when chords and keys change to a full identification of what those chords and keys are. We do this with a simple implementation of p... Read More about What if the 'When' Implies the 'What'?: Human harmonic analysis datasets clarify the relative role of the separate steps in automatic tonal analysis..

Augmentednet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks (2021)
Presentation / Conference Contribution
López, N. N., Gotham, M., & Fujinaga, I. (2021). Augmentednet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks. In J. H. Lee, A. Lerch, Z. Duan, J. Nam, P. Rao, P. van Kranenburg, & A. Srinivasamurthy (Eds.), Proceedings of the 22nd International Society for Music Information Retrieval Conference (404-411)

AugmentedNet is a new convolutional recurrent neural network for predicting Roman numeral labels. The network architecture is characterized by a separate convolutional block for bass and chromagram inputs. This layout is further enhanced by using syn... Read More about Augmentednet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks.