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All Outputs (13)

The “OpenScore String Quartet” Corpus (2023)
Presentation / Conference Contribution
Gotham, M., Redbond, M., Bower, B., & Jonas, P. (2023, November). The “OpenScore String Quartet” Corpus. Presented at DLfM 2023: 10th International Conference on Digital Libraries for Musicology, Milan, Italy

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.

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, November). The 'Measure Map': An inter-operable standard for aligning symbolic music. Presented at DLfM 2023: 10th International Conference on Digital Libraries for Musicology, Milan, Italy

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.

Chromatic Chords in Theory and Practice (2023)
Presentation / Conference Contribution
Gotham, M. (2023, November). Chromatic Chords in Theory and Practice. Presented at 24th International Society for Music Information Retrieval Conference, Milan, Italy

"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, November). Musical Micro-Timing for Live Coding. Presented at ISMIR 2023: 4th conference of the International Society for Music Information Retrieval, Milan, Italy

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.

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, April). Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments. Presented at EvoMUSART 2023: Artificial Intelligence in Music, Sound, Art and Design, Brno, Czech Republic

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, November). What if the 'When' Implies the 'What'?: Human harmonic analysis datasets clarify the relative role of the separate steps in automatic tonal analysis. Presented at ISMIR 2021: 22nd International Society for Music Information Retrieval Conference, Online

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, November). Augmentednet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks. Presented at ISMIR 2021: 22nd International Society for Music Information Retrieval Conference, Online

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.

Serial Analysis: A Digital Library of Rows in the Repertoire and their Properties, with Applications for Teaching and Research (2021)
Presentation / Conference Contribution
Gotham, M., & Yust, J. (2021, July). Serial Analysis: A Digital Library of Rows in the Repertoire and their Properties, with Applications for Teaching and Research. Presented at DLfM '21: 8th International Conference on Digital Libraries for Musicology, Virtual Conference

Recent years have seen the emergence of concerted efforts for consolidating and curating digital libraries of musical analyses. This is a welcome development that stands to complement the more established attention to collections of musical resources... Read More about Serial Analysis: A Digital Library of Rows in the Repertoire and their Properties, with Applications for Teaching and Research.

Discourse not dualism: An interdisciplinary dialogue on sonata form in Beethoven's early piano sonatas (2020)
Presentation / Conference Contribution
Weiß, C., Klauk, S., Gotham, M., Müller, M., & Kleinertz, R. (2020, October). Discourse not dualism: An interdisciplinary dialogue on sonata form in Beethoven's early piano sonatas. Presented at 21st International Society for Music Information Retrieval Conference

The computational analysis of music has traditionally seen a sharp divide between the "audio approach" relying on signal processing and the "symbolic approach" based on scores. Likewise, there has also been an unfortunate gap between any such computa... Read More about Discourse not dualism: An interdisciplinary dialogue on sonata form in Beethoven's early piano sonatas.

Moments musicaux: Towards comprehensive catalogues of real repertoire examples for teaching and research (2019)
Presentation / Conference Contribution
Gotham, M. (2019, November). Moments musicaux: Towards comprehensive catalogues of real repertoire examples for teaching and research

One form of musical library that is a mainstay of traditional musicology and which stands to benefit from digital attention is the ‘anthology’. These collections, often paired with a textbook, are tasked with bringing together a set of ‘representativ... Read More about Moments musicaux: Towards comprehensive catalogues of real repertoire examples for teaching and research.

Scores of Scores An OpenScore project to encode and share sheet music (2018)
Presentation / Conference Contribution
Gotham, M., Bosworth, W., Jonas, P., Rootham, D., Bower, B., & VanHandel, L. (2018, September). Scores of Scores An OpenScore project to encode and share sheet music. Presented at 5th International Conference on Digital Libraries for Musicology

Automatic stylistic composition of Bach chorales with deep LSTM (2017)
Presentation / Conference Contribution
Liang, F., Gotham, M., Johnson, M., & Shotton, J. (2017, October). Automatic stylistic composition of Bach chorales with deep LSTM. Presented at ISMIR 2017: 18th International Society for Music Information Retrieval Conference, Suzhou

This paper presents "BachBot": an end-to-end automatic composition system for composing and completing music in the style of Bach's chorales using a deep long short-term memory (LSTM) generative model. We propose a new sequential encoding scheme for... Read More about Automatic stylistic composition of Bach chorales with deep LSTM.