This group is devoted to a discussion of topics related to music encoding, and is an extension of the Music Encoding Initiative channels on MEI-L and website, https://music-encoding.org/.
The Music Encoding Initiative (MEI) is a community-driven effort to define a system for encoding musical documents in a machine-readable structure. MEI brings together specialists from various music research communities, including technologists, librarians, historians, and theorists in a common effort to define best practices for representing a broad range of musical documents and structures.
The official MEI mailing list, MEI-L, is used to inform the community about upcoming events, discuss possible improvements for MEI, evaluate encoding strategies and models, and get support from the full community. The list is open to anyone for subscription, and everyone is welcome to join MEI-L by subscribing to: https://lists.uni-paderborn.de/mailman/listinfo/mei-l.
MEI has a Slack channel that is used for discussion, questions, announcements, and collaboration, https://music-encoding.slack.com. You can join by filling out the Slack Invitation Form (https://goo.gl/forms/cDWLuDgicFjXSENi2).
MEI is hosted by the Akademie der Wissenschaften und der Literatur, Mainz.
The MEI Board has approved the Digital Pedagogy Interest Group.
The group welcomes any member of the MEI community interested to get involved by subscribing to the mailing list http://lists.uni-paderborn.de/mailman/listinfo/mei-pedagogy-ig or the MEI Slack channel (join the MEI Slack here).
The aim of the Interest Group is to support educators…[Read more]
MEI-encoded scores are versatile music information resources representing musical meaning within a finely addressable XML structure. The Verovio MEI engraver reflects the hierarchy and identifiers of these encodings into its generated SVG output, supporting presentation of digital scores as richly interactive Web applications. Typical MEI…[Read more]
In this paper, we apply machine translation techniques to solve one of the central problems in the field of optical music recognition: extracting the semantics of a sequence of music characters. So far, this problem has been approached through heuristics and grammars, which are not generalizable solutions. We borrowed the seq2seq model and the…[Read more]
While the increase in digital editions, online corpora, and browsable databases of encoded music presents an extraordinary resource for contemporary music scholarship, using these databases for computational research remains a complex endeavor. Although norms and standards have begun to emerge, and interoperability among different formats is often…[Read more]
Despite the interdisciplinary nature of the Italian madrigal—a genre in which poetry and music often stand on equal footing—critical editions of this repertoire tend to focus primarily on the musical text, devoting limited attention to the often-complex philological tradition of the poems set to music. Likewise, most critical editions are dev…[Read more]
In this paper we introduce a set of improvements to Neon, an online square-notation music editor based on the International Image Interoperability Framework (IIIF) and the Music Encoding Initiative (MEI) file format. The enhancements extend the functionality of Neon to the editing of lyrics and single-session editing of entire manuscripts and…[Read more]
This paper reports on the task of developing concepts for a computational analysis of the transmission of mensural music based on concepts of phylogenetic analysis. Since the analysis of transmission aims for the reconstruction of relations between sources, it focuses on the differences of rather similar items. Therefore, it is necessary to find…[Read more]
In 1731, Johann Mattheson writes in the preface to the Große Generalbass-Schule: “The complaint, however, which I made in the first edition of this Organisten-Probe about the badly printed notes, is still in its full strength, and patience is the only remedy.” Probstücke Digital is an open and critical digital edition project of the 24 test piece…[Read more]
Elsa De Luca deposited Preventing conversion failure across encoding formats: A transcription protocol and representation scheme considerations in the group Music Encoding Initiative on Humanities Commons 2 months ago
Conversion issues across musical symbolic representations, such as musicXML, MEI, and humdrum, are well known. Often, these depend on methodological choices undertaken during the generation and processing of the data. For a better under-standing of this topic, we present a transcription protocol, result of trial and error transcription attempts…[Read more]
For musicologists, the collation of multiple sources of the same work is a frequent task. By comparing different witnesses, they seek to identify variation, describe dependencies, and ultimately understand the genesis and transmission of (musical) works. Obviously, the need for such comparison is independent from the medium in which a musical work…[Read more]
In my master thesis I am working on the analysis of scriptural problems, trying to discuss the chronology of Ludwig van Beethoven’s entries in the autograph of his Flohlied op. 75, no. 3. This is in order to examine the efficiency of the so-called VideApp of the research project Beethovens Werkstatt which studies sketches and manuscripts of B…[Read more]
High-quality annotations of harmonic analysis are scarce. Furthermore, the existing data usually follows different conventions for spelling scale degrees, inversions, and special chords (e.g., cadential six-four). There have been efforts for standardizing the notation of harmonic analysis annotations, however, these have not been very successful…[Read more]
MIDI, the musical instrument digital interface, is a highly successful protocol for conveying and, through the use of Standard MIDI Files, representing musical performance information. However, it lacks the ability to convey notation information. The newly approved MIDI 2.0 protocol gives us a chance to rectify that by including notation…[Read more]
The computational study of figured bass remains an under-researched topic, likely due to the lack of machine-
readable datasets. This paper is intended to address the paucity of digital figured bass data by 1) investigating procedures for systematically annotating symbolic music files with figured bass, and 2) producing and releasing a model…[Read more]
This paper employs a digital project entitled “Visualizing Operatic Fame” to delve into three major issues in graph theory and network science: searching and pathfinding, influencers and hubs, and clusters and communities.
Elsa De Luca deposited Computer-Aided Analysis Across the Tonal Divide: Cross-Stylistic Applications of the Discrete Fourier Transform in the group Music Encoding Initiative on Humanities Commons 2 months ago
The discrete Fourier transform is a mathematically robust way of modeling various musical phenomena. I use the music21 Python module to interpret the pitch classes of an encoded musical score through the discrete Fourier transform (DFT). This methodology offers a broad view of the backgrounded scales and pitch-class collections of a piece. I have…[Read more]
Elsa De Luca deposited Music Encoding Conference Proceedings 26-29 May, 2020 Tufts University, Boston (USA). Edited by Elsa De Luca and Julia Flanders in the group Music Encoding Initiative on Humanities Commons 2 months ago
Conference proceedings of the Music Encoding Conference 2020 with Foreword by Richard Freedman and Anna J. Kijas.
Digital methods have begun to make their way into the research practices of music scholars, and most this insurgence can be attributed to the rise of the discipline of music technology. Though music encoding is becoming increasingly prevalent among the research and teaching methodologies of music scholars, evidence gathered from course…[Read more]
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