Session 13 — Transforming MusicologySaturday 09:30 - 11:00High Tor 3Chair: Jamie McLaughlin |
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Early Music & Digital Technology
Goldsmiths, University of LondonBy the use of suitable data-capture methods such as optical music recognition for printed 16c part-books, combined with manual encoding for manuscript and other sources, we can study large amounts of score-like musical data using computational techniques for pattern-matching, classification and analysis. In this paper we look at the ways such search methods can be applied across a mixed corpus of encodings of 16c vocal and instrumental music, and how they might be extended to include audio recordings. Although in principle an armoury of pattern-matching algorithms has become available through decades of work in bioinformatics and information retrieval, each one of these needs to be carefully reconsidered and possibly adapted for use in a musicological context. Using a geometric pattern-matching method designed with music in mind, we carried out a preliminary study of the ways in which ornamental patterns or clichés were applied in the process of arranging pieces of vocal music for the favourite 16c instrument, the lute, showing that this was done differently for sacred and secular music. Searching directly for simple melodic fragments within lute pieces is perhaps unexpectedly challenging, mainly because of the number of ‘false positives’ one is likely to encounter in any passages of dense polyphony. This forces us to adopt computationally expensive strategies such as n-gram searching, with concomitant issues around the analysis and display of results in a manner which would lead a musicologist to a valid intuitive response. Further work is likely to involve examination of the internal details of instrumental music notated in tablature, the system used by the lute, which allows estimation of the relative difficulty of passages, or to ‘grade’ whole pieces. A nearly identical tablature system is used today in vast quantities on the internet to share interpretations of popular music for guitar and other instruments |
Hearing Opera: Wagner and the human response
Goldsmiths, University of LondonOne of the research strands within Transforming Musicology concerns Richard Wagner’s use of the ‘leitmotif’ in the four operas of his ‘Ring Cycle’: Das Rheingold, Die Walküre, Siegfried and Götterdämmerung. While leitmotif was not Wagner’s own preferred term, the use of short, clearly identifiable themes or motives to indicate a range of concrete entities within the drama (such as people, objects such as swords, spears, or a dragon), as well as emotional states (fear, longing, joy, etc.) and more complex concepts (a curse, foreboding, jealousy, and so on), has become indissolubly linked with his name and was hugely influential in his time and on subsequent music history. Our work has combined ‘conventional’, text- (and score-)based musicological approaches with a number of psychological experiments aimed at discovering how, precisely, operatic audiences respond to the music – or, more correctly, to the complete experience of the opera (the Gesamtkunstwerk). A great, and entirely unexpected, opportunity arose for us in the context of the 2014 Being Human festival, in which, thanks to some additional AHRC funding, we were able to directly measure the bio-physical reponses of audience members at a staged performance of the complete Ring Cycle at the Birmingham Hippodrome. The mass of highly complex data this has produced demands a lot of post hoc work, both to align it precisely with the musical score and details of the staging we captured using our custom-built annotation system, and to analyse the response- manifested in the individuals concerned. This paper presents new results from analyses done in recent months thanks to a further small grant from the AHRC. |
Semantic Linking and the Workflows of Musicology
University of OxfordA common theme between the various research strands of Transforming Musicology has been the contribution of each towards a semantic infrastructure, using the techniques of Linked Data and the Semantic Web, aimed at providing enhancements for sustainability of research data, methods and results. In particular, it was felt from the outset that the principle of repeatability, well-established in the sciences, is not incompatible with the aims and aspirations of humanistic scholarship. So, where possible, we attempt to publish our datasets and our workflows in a way that should, in principle, allow others to repeat our investigations, and/or re-use them on different or expanded datasets as appropriate. Based on earlier work on scientific workflows, we have studied a number of processes of musicological investigation and will present some of our findings in this paper. Two musicological examples around such workflows arose from the Wagner work in Transforming Musicology: the Musical Score Annotation Kit (MuSAK), a multi- ephemeral phenomena of a specific staging during its live performance, developed for the 2014 Being Human festival; and the Leitmotif Ontology, which enables the semantic annotation of sources of literature on the leitmotif and the structured representation of the different interpretations they contain. MuSAK comprises a touchscreen tablet for score annotation, a digital pen, a server that receives and stores annotations, and audio- coherent semantic navigable hyperstructure. The paper will describe the motivation behind the ontology, and discuss how it can integrate the varying methodologies and ways of thinking evidenced the documentary record of music history. Both examples, we believe, can offer a useful model for future work in Digital Humanities research. |
Networks of Musicology
Goldsmiths, University of LondonMusicology, as with most other humanities disciplines, is largely published on the web today. This provides a new opportunity for studying the transmission of ideas, both within and among communities of musicologists. The ideas that are formed and transmitted within and between musicological research communities, leaving their digital trace in online publications such as Music Theory Online, Empirical Musicology Review, and others, may be studied as a contribution to the historiography of scholarship. The ways in which disputes arise and are resolved or reinforced, and how the values and interests of a research community develop and change, can be analysed using methods from social network analytics. We have built network models based on common institutions and co-editorship using both statistical methods and network analytics which enable us to see the community structure within scholarly musicology. We have also looked at where these communities do and do not follow physical and geographic boundaries, as well as how such networks affect the spread of ideas. Using the abstracts and keywords provided (usually by the authors themselves) to a large- (RILM) we present first work in a study which relates the social networks to those which can be derived from common or related concepts explicitly expressed within this textual material. This empirical approach goes towards a better understanding of the ecology of scholarly musicology, across cultures, sub-disciplines, and institutions. |
Publishing Musicology Digitally
Goldsmiths, University of LondonIn the grant proposal for Transforming Musicology we committed to the production of a book covering the research undertaken in the project in some depth. As envisaged then, it was to have been a conventional publication, with an online version offering a degree of extra linkage and embedding some digital material. This was modelled on the notion of preparing traditional scholarship for Web publication. However, with much of our data, methods and findings now published as Linked Data, our emphasis has shifted sharply towards online presentation as our primary outlet, with a summary print publication. This requires us to design an information architecture accommodating the needs of scholarly music publishing, and to work out an authoring strategy, ideally one involving TEI, and an editing strategy resulting in high quality hypertext. This allows us to embed and link dynamic music examples by using the TEI-compatible Music Encoding Initiative (MEI). For example, rather than static music examples, we can display extracts from complete scores as examples, and allow users to select a passage as a query to an MIR system. Another possibility that comprehensive markup allows is curating dynamic reading paths for different readerships. The content must be edited into re-combinable chunks, each carrying information about how they may be re-combined. Reading paths might include: a research findings report on Transforming Musicology; a handbook on digital musicology methods; a focussed discussion of a particular digital methods; or an authorial/editorial reading path (as in a conventional book). In this way we shall widen access to broader audiences by allowing readership interactions such as annotating or commenting, or crowd-source-like contributions to our (meta)data sets. We shall also build reading paths suited to lay audiences, opening musicology to scientists and engineers interested in music, and also offering a palatable way into advanced digital technology for musicologists and musicians. |