Digital Music Lab – Analysing Big Music Data is an AHRC project funded under the Big Data call of the Digital Transformations in the Arts and Humanities Theme. Our goal is to develop research methods and software infrastructure for exploring and analysing large-scale music collections, and to provide researchers and users with datasets and computational tools to analyse music audio, scores and metadata.
8 July 2015, 10:00 – 15:30
Foyle Suite, Centre for Conservation
The AHRC funded project on An Integrated Audio-Symbolic Model of Music Similarity (ASyMMuS) aims to integrate aspects of audio and symbolic representations, such as scores or MIDI data, in a joint model. By building on the Digital Music Lab structure, the project’s aim is to promote a data driven approach to music similarity. This workshop will bring together researchers with different approaches to promote discussions on what constitutes and what contributes to music similarity.
For more information on the workshop, including programme, registration, and venue information, please visit the workshop webpage.
- Explore the DML Vis Interface
- DML project at FMA 2015
- DML project at “Quantitative Data and Music Research” symposium
- ASyMMuS Press Release
- Transforming Musicology blog post on music similarity
- DML Final Workshop (report from BL Digital Scholarship Blog)
- DML Final Workshop: Slides
- DML project at THATCamp British Library Labs
- Digital Music Lab Final Workshop on Analysing Big Music Data