The musical performance of a score is a domain rarely addressed in a reasonable level of detail by current digital music editions. A main reason for this may be a lack of suitable data formats that are capable of encoding more than ambiguous performance symbols or rather technical measurement series. The Music Performance Markup format is a recent…[Read more]

Summary of an invited panel discussion at the Music Encoding Conference 2022.

In this panel, we consider the role of MEI in providing common structures and meanings for heterogeneous musical practices and notations and, to a lesser extent, uses. Drawing on direct experience of working with particular cultural or historical material, we consider the robustness of the fundamental modelling of MEI, and its challenges and…[Read more]

The “Metadata Editor and Repository for MEI Data” (MerMEId) is a web-based tool to capture and enrich data in the MEI header. This tool was originally developed by Axel Teich Geertinger and Sigfrid Lundberg at the “Danish Centre for Music Editing”, under an open-source license. This poster describes the transfer of this project to communi…[Read more]

We present a new multi-layered, conceptual model for associating musical source materials to musicological arguments. We describe our proposal for operationalizing these concepts through a framework for musical annotation which we have implemented using RDF. Briefly stated, this model shows how portions of digitized data in various files and…[Read more]

Timbre and texture are important and perceptually salient stylistic and structural parameters in popular music, yet their specific functional roles in this repertoire have not been theorized. This report describes the construction and encoding of a new popular-music corpus, Timbre in Popular Song (TiPS). The corpus comprises 400 songs, including…[Read more]

The work of the Joseph Haydn Institute has been well-known in eighteenth-century studies and beyond since publishing the first four volumes of the Joseph Haydn Werke in 1958. As with any Gesamtausgabe undertaking, sources occupy a central role, and with them come massive amounts of data. Naturally, compilation and organization of the metadata…[Read more]

Musics in just intonation pose a wide number of challenges to encoding but perhaps none more imposing than their potential to freely drift through rational pitch space by minute intervals. Though such commatic drifts—whether Pythagorean, syntonic, septimal, or otherwise—are all too often framed as ‘problems’ inherent to rational tuning systems…[Read more]

The use of intelligent systems linked to musical tasks such as automatic composition, classification, and Music Information Retrieval has increasingly shown itself to be a promising field of study, not only from a computational, but also from a musical point of view. This paper aims to develop an innovative method capable of producing a coded…[Read more]

Capturing the personnel needed to perform a musical work in MEI metadata is straightforward with standard ensemble configurations, such as string quartets. In contrast, it can be highly complex for extensive orchestral settings, stage music, or, e.g., twentieth-century ‘Neue Musik.’ Especially in the latter case, the degree of possible var…[Read more]

Middle Byzantine notation, which is the most widely used musical notation of Byzantine music, has been used to notate Byzantine music between the mid-twelfth century and the early nineteenth century. Since its rules were never explicitly written down and enforced, but were instead informally interpreted, cantors, theorists and researchers do not…[Read more]

Digital tools offer many ways to find musical patterns with machines. But the task of formulating digital-musical queries systematically, interpreting the results, and refining our methods to yield intelligent insights about musical practice is far more difficult. In this presentation, a team of musicologists and data scientists will share our…[Read more]

Our project focuses on watermarks found in the music manuscripts of Franz Schubert. The endeavour incorporates thermography, machine learning and signal processing to produce digitized watermarks for databases and manuscript descriptions as well as to curtail the approximate dating of some undated autographs. By applying fingerprint recognition…[Read more]

Lacking institutional support, the vast majority of digital humanities communities and their respective projects confront the pervasive challenge of sustainability. Shifts in technologies, resources, and communities over time present systemic barriers to the long-term viability of digital projects. The “Communities sustaining digital c…[Read more]

We present how the open-source web framework Dezrann enables users to hear, study, and annotate music by interacting with synchronized views such as image scores, rendered scores, videos, and representations of audio as waveforms or spectrograms. We encode as unit conversions the cross-modal synchronization between these music representations.…[Read more]

This paper presents the specifications of match: a file format that extends a MIDI human performance with note-, beat-, and downbeat-level alignments to a corresponding musical score. This enables advanced analyses of the performance that are relevant for various tasks, such as expressive performance modelling, score following, music…[Read more]