Abstract
Music encoding can link disparate types of musical data for the purposes of archiving and search. The encoding of human response data explicitly in relation to musical notes facilitates the study of the ways humans engage with music as performers and listeners. This paper reflects on the developments and trends in formal music encoding systems as well as the types of data representations used in corpora released by researchers working on expert music analyses, musical performances, and listener responses. It argues that while the specificity (and often simplicity) afforded by project-specific encoding formats may be useful for individual research projects, larger-scale interdisciplinary research would be better served by explicit, formalized linking of data to specific musical elements. The paper concludes by offering some concrete suggestions for how to achieve this goal.
Highlights
Standardized music encoding has the potential to facilitate deep interdisciplinary engagement and research, where data can be shared between researchers to assess comparative research questions on how humans engage with music
By consistently encoding human response data and reported and physiological listener responses to musical elements researchers can draw on otherwise disparate data describing how people analyze, perform, and react to music
This paper considers the acts of analysis, performance, and listening to be related but distinct types of human responses to music
Summary
Music encoding can link disparate types of musical data for the purposes of archiving and search. The encoding of human response data explicitly in relation to musical notes facilitates the study of the ways humans engage with music as performers and listeners. This paper reflects on the developments and trends in formal music encoding systems as well as the types of data representations used in corpora released by researchers working on expert music analyses, musical performances, and listener responses. It argues that while the specificity (and often simplicity) afforded by project-specific encoding formats may be useful for individual research projects, larger-scale interdisciplinary research would be better served by explicit, formalized linking of data to specific musical elements.
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