Workshop material. This half-day workshop introduced strategies for handling XML when publishing with static site generators and front-end technologies. The workshop focused on isomorphic approaches to publishing XML data on the web or, in other words, publishing XML data with little or no transformation, or with a structure-preserving mapping…[Read more]

It is common engraving practice for “two or more players – or a divided string section with only single notes per division” (Gould 2011) to share a staff in an orchestral score, such as clarinet I and clarinet II. This practice addresses issues such as stemming, sharing musical content, placement of ties and slurs, and more. With respect to these…[Read more]

As practitioners and scholars who engage with music encoding we already understand the affordances that encoding music or text can bring to our research and scholarship. However, individuals who are not yet familiar with encoding schemas and the usefulness of digital methodologies may not have a clear understanding of the “why” in using a dig…[Read more]

Front matter for the Proceedings of the Music Encoding Conference 2022.

Table of Contents for the Proceedings of the Music Encoding Conference 2022.

Foreword for the Proceedings of the Music Encoding Conference 2022.

Opening keynote of the Music Encoding Conference 2022.

Closing keynote of the Music Encoding Conference 2022.

A new digital encoding of 207 works by Alexander Scriabin is reported. The corpus includes all of Scriabin’s works for solo piano with an opus number. Each work is in the **kern format, having first been encoded into Finale, exported to a MusicXML file, and then converted using the musicxml2hum command. The corpus’s content and method of enc…[Read more]

Partitura is a lightweight Python package for handling symbolic musical information. It provides easy access to features commonly used in music information retrieval tasks, like note arrays (lists of timed pitched events) and 2D piano roll matrices, as well as other score elements such as time and key signatures, performance directives, and repeat…[Read more]

Chant notations are found across a large geographical area encompassing Europe and part of the Middle East (including the Levant and the historical Armenian lands). The Neumes Module represents a collective endeavour on the part of the MEI Community to capture in a machine- readable format the meaning of chant notations. In recent years intensive…[Read more]

In comparison to computational linguistics, with its abundance of natural-language datasets, corpora of music analyses are rather fewer and generally smaller. This is partly due to difficulties inherent to the encoding of music analyses, whose multimodal representations—typically a combination of music notation, graphic notation, and natural l…[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]

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]

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]

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]

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]

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]

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]

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]