A paper describing the relationships between Music Information Retrieval, Big Music Data, and musicology in relation to the analysis of recorded music and in particular the DML project was recently published at Musical Quarterly.
The paper, entitled “Big Music Data, Musicology, and the Study of Recorded Music: Three Case Studies” and authored by Stephen Cottrell (Professor of Music at City, University of London and Co-Investigator in the DML project), can be viewed by following the below link:
A paper describing the infrastructure of the Digital Music Lab framework has been published at the ACM Journal on Computing and Cultural Heritage (JOCCH). The paper is entitled “The Digital Music Lab: A Big Data Infrastructure for Digital Musicology” and can be viewed by following the below link:
A postprint version is also available to download at:
The Digital Music Lab project was mentioned at the 2016 newsletter of the International Musicological Society (IMS), on the “Study Group on Digital Musicology” section (p.23), regarding:
Below we provide a list of git/mercurial/package repositories where we publish the code underlying the DML system. All code is hosted in mercurial repositories at code.soundsoftware.ac.uk under the GPLv3 license.
The cliopatria repository contains the implementation of the information and results management system and API. The source code can be found here:
hg clone https://code.soundsoftware.ac.uk/hg/dml-open-cliopatria.
The source for the DML Vis is hosted here:
hg clone https://code.soundsoftware.ac.uk/hg/dml-open-vis.
We welcome contributions towards the code. If you use the code for a scientific publication, you can cite […]. Tools to work with the mercurial version control system are available at https://www.mercurial-scm.org/, with a GUI at EasyMercurial.
The ASyMMus project and its integration into the DML web interface were presented by Daniel Wolff during his departmental talk on music similarity.
From the abstract:
The concept of similarity can be applied to music in a multitude of ways. Applications include systems which provide similarity estimates depending on the specific user and context as well as analysis tools that show similarity of music with regards to specified compositional, physical or contextual features. The ASyMMuS project allows musicologists to apply similarity analysis to musical corpora on a big-data infrastructure – allowing for a comparison of e.g. the works of a certain composer.
Read here for more information and the full abstract.
The main webpage for the ASyMMuS Workshop on Music Similarity has been updated with a list of abstracts as well as slides from the various presentations.
ASyMMuS Workshop on Audio-Symbolic Music Similarity Modelling
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.
The DML Vis interface is now available online. It enables you to explore, analyse and compare music collections and recordings from three large libraries originating from the British Library’s Sound Archives, CHARM and I Like Music.
We invite you to play with the interface: http://dml.city.ac.uk/vis/ and have a look at our introduction.
Furthermore we provide access to the analysis and features used in the DML interface via our ClioPatria service. Here you may browse the triplet store by predicates such as bl composer (e.g. for classical music) or subject which is suited well for ethnographic recordings. We are happy to receive feedback.
The DML project will be presented at the “Numbers, Noises and Notes: Quantitative Data and Music Research” symposium, which takes place on Tuesday 16th June at The Sussex Humanities Lab, University of Sussex.
During the symposium, Dr Tillman Weyde (PI for the DML project) will give a talk on “Analysing Big Music Data: Audio Transcription and Pitch Analysis of World and Traditional Music”.