Digital Music Lab - Analysing Big Music Data

Lead Research Organisation: City, University of London
Department Name: Computing

Abstract

Music research, particularly in fields like systematic musicology, ethnomusicology, or music psychology, has developed as "data oriented empirical research", which benefits from computing methods. In ethnomusicology particularly, there has been a recent growing interest in computational musicology and its application to audio data collections. Similarly, the empirical study of performance of Western music, such as timing, dynamics and timbre and their relation to musical structure has a long tradition. However, this music research has so far been limited to relatively small datasets, because of technological and legal limitations.

On the other hand, researchers in Music Information Retrieval (MIR) have started to explore large datasets, particularly in commercial recommendation and playlisting systems (e.g. The Echo Nest, Spotify), but there are differences in the terminologies, methods, and goals between MIR and musicology as well as technological and legal barriers. The proposed Digital Music Lab will support music research by bridging the gap to MIR and enabling access to large music collections and powerful analysis and visualization tools.

The Digital Music Lab project will develop research methods and software infrastructure for exploring and analysing large-scale music collections. A major output of the project will be a service infrastructure with two prototype installations. One installation will enable researchers, musicians and general users to explore, analyse and extract information from music recordings stored in the British Library (BL). Another installation will be hosted by the Centre for Digital Music at Queen Mary University of London and provide facilities to analyse audio collections such as the I Like Music, CHARM and the Isopohnics datasets, creating a data collection of significant size (over 1m pieces).

We will provide researchers with the tools to analyse music audio, scores and metadata. The combination of state-of-the-art music analysis on the audio and the symbolic level with intelligent collection-level analysis methods will allow for exploration and quantitative research on music that has not been not possible at this scale so far.

The results of these analyses will be made available in the form of highly interactive visual interfaces. Musical questions we will explore include: how does performance style change change over time in relation to a particular genre or style, in classical, world, jazz, or popular music; how might performances of a given genre vary by geographical location; how does a performer's individual performance aesthetic develop over their lifetime; how might we identify the influence of one performer on another. Starting points for the analysis will be questions of musical timing and structure in piano music as well as in folk songs. We will also explore more generic musicological questions, such as the role of specific instruments in different cultures using data mining on the collection level, e.g. for relating similarities on the signal and metadata level. The resulting derived data that can be aggregated for research use, and the annotation of audio files with metadata, using all open standards such as the Music Ontology.

The use of the proposed framework will be demonstrated in musicological research on classical music (building on the AHRC-funded CHARM and CMPCP research centres), as well as in folk, world and popular music. All results will be made available as open data/open source software. We feel that this project has the potential to bring together communities from musicology and MIR to mutual benefit.

Planned Impact

The beneficiaries of this project include those directly involved, and those involved through our partner the British Library, and from any likely commercialisation of project outcomes. Those directly involved are:
(1) Users of the British Library, in particular of the Digital Music Collections
(2) The British Library, in particular the British Library Labs
(3) Existing and future users of Sonic Visualiser/Annotator (estimated as at least 10,000 currently) who will benefit from the extended capabilities that will be developed by this project.
Those indirectly involved are:
(4) Potential licensees and adopters of the music analysis tools showcased by this project
(5) Potential licensees and adopters of the big data analysis infrastructure and interfaces developed for this project
(6) Customers of licensees and adopters, specifically musicologists and the music listening public

These different constituents benefit in differing ways. Users of the BL will be able to access large data sources, to analyse large datasets, to download analysis results and to have access to interactive visualisations displaying analysis results. The BL will be able to improve their service and infrastructure, and will be able to exploit the large amounts of data, which already exist in the BL Sound Archive. Users of Sonic Visualiser/Annotator will benefit from tools that offer batch analysis of large corpora and provide interactive visualisations of analysis results. Potential licensees of music analysis tools, primarily industrial and public bodies in the music technology and digital libraries sectors, will be in a position to analyse efficiently and robustly large amounts of recordings, while their customers will enjoy a more informative and compelling experience of music appreciation. Finally, licensees of big data analysis technologies will benefit from an existing infrastructure, tested on one of the largest libraries worldwide, while the provided technology will be transferable to other types of data, for example books, images, videos, or metadata.

We expect beneficiaries (1) to (2) to gain significant benefit during the lifetime of this project, with this increasing as the main outcomes of the project are disseminated. We foresee benefit to beneficiaries (3) during and after the project. Finally, beneficiaries (4), (5) and (6) should see benefit after the end of the project.

The project includes regular interaction between researchers, partners, and users, with particular emphasis on a training workshop for the developed tools, which will take place towards the end of the project. We will also develop documentation for the project, with the objective of making it available for use by the greater public, and we will create and manage a project website and repository. In order to inform and engage users, press activities will be organised, including presence in university Open Days, blogs and social media. Mechanisms to present this project to the public will be sought in conjunction with Press and Publications Office of City, Queen Mary, and UCL. We expect also to present the work at the London-based Music Tech Festival, which attracts potential beneficiaries from the creative industry.
 
Title Musical Composition and Production: Beyond the Fence 
Description The musical Beyond the Fence was the first mainly computer generated musical, and the DML infrastructure with ASymMus similarity analysis was used to conduct research that supported the generation. 
Type Of Art Composition/Score 
Year Produced 2016 
Impact The musical Beyond the Fence was performed in the Arts Theatre in London's West End 22 Feb - 5 March 2016. 
URL http://beyondthefencemusical.com/
 
Title TV programme: Computer Says Show 
Description 'Computer Says Show' is a two part television program on the creation of the world's first computer-generated musical 'Beyond the Fence'. 
Type Of Art Film/Video/Animation 
Year Produced 2016 
Impact This program was broadcast on Sky Arts on the 25th Feb and 3rd March 2016. 
URL http://www.wingspanproductions.co.uk/news-and-awards/read/48/Beyond-the-Fence-the-world-s-first-comp...
 
Description We developed the Digital Music Lab system that provides an interface for analysing large amounts of data. The system has analysed over 250,000 audio tracks from the British Library and from I Like Music Ltd, and has access to around 1m further tracks, which we are aiming to analyse.

The technological challenges of data analysis were met by combining Big Data frameworks (Apache Spark) with existing audio analysis technology (VAMP plug-ins and Sonic Annotator). The findings regarding the computational aspects suggest that with modern BigData Hard- and Software, it is possible to support music research with large-scale analysis. To make the work interactive, it is necessary to employ smart methods for caching and background calculations.


The interaction with existing systems, technologies, and standards, such as MusicBrainz IDs and Semantic Web technologies, specifically the Music Ontology, enables the integration with other data sources on the Semantic Web.

Interactive visual interfaces to support musicological research have been developed with musicologists and evaluated. We also gathered feedback from in two workshops at City University and the British Library, respectively, where music researchers with varying degrees of technological expertise were invited and geva valuable comments and feedback.

We made some progress towards the definition musicological methods for big data, but here significant work still remains to be done. This is for two reasons: some parts of music research need to change their methods fundamentally to address Big Data, and also the tools and interfaces are only beginning to develop, so that we expect interaction an mutual learning in the future research into Big Music Data research and technology.
Exploitation Route The results of this research project are available as open source software, and our software is designed for the extension to a networked system. We would hope for more libraries, archives and research institutions to start running their DML systems, so that a networked infrastructure for music research would be established. We are currently in contact with other institutions such as the Smithsonian institution (USA, DC) and Columbia University (USA, NY) to explore such collaborations.

We are continuing work and hope to engage more collaborators to use our system to develop music research methods. To this end the server at the British Library is still available and we are disseminating the tools and approach among researchers in digital humanities.

The developed infrastructure can also be useful for other researchers, e.g. in history of recorded speech, or other audio-related tasks, such as animal sound analysis or environmental sound analysis. The DML installation at the BL is actually being put to use by two research projects: Making Sense of Sounds (Prof M. Plumbley EP/N014111/1) and a Royal Academy of Engineering Research Fellowship (Dr E Benetos, RF/128).
Sectors Creative Economy,Digital/Communication/Information Technologies (including Software),Education,Environment,Leisure Activities, including Sports, Recreation and Tourism,Culture, Heritage, Museums and Collections

URL http://dml.city.ac.uk
 
Description The DML system has been used in research underpinning the creation of the first computer-generated musical theatre piece. This work was initiated and documented by Sky Arts and led to a documentation broadcast on Sky Arts and performances of the generated musical "Beyond the Fence" in the Arts Theatre in London's West End in Feb/Mar 2016. The content from the BL Sound Archive has been disseminated through our user interface and the workshops we held. We also provide access to the analyses of over 200k recordings from I Like Music (BBC primary content provider).
First Year Of Impact 2015
Sector Digital/Communication/Information Technologies (including Software),Leisure Activities, including Sports, Recreation and Tourism,Culture, Heritage, Museums and Collections
Impact Types Cultural,Societal

 
Description A Machine Learning Framework for Audio Analysis and Retrieval
Amount £404,470 (GBP)
Funding ID RF/128 
Organisation Royal Academy of Engineering 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2015 
End 03/2020
 
Description Audio-Visual Media Research Platform
Amount £1,577,223 (GBP)
Funding ID EP/P022529/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 08/2017 
End 07/2022
 
Description Automatic segmentation of audio recordings to speech and music
Amount £6,000 (GBP)
Organisation City, University of London 
Sector Academic/University
Country United Kingdom
Start 04/2015 
End 07/2015
 
Description Making Sense of Sounds
Amount £1,275,401 (GBP)
Funding ID EP/N014111/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2016 
End 12/2018
 
Description Musical theatre project
Amount £6,000 (GBP)
Organisation Wingspan Productions Ltd 
Sector Private
Country United Kingdom
Start 06/2015 
End 07/2015
 
Description Trans-Atlantic Program Digging into Data Challenge
Amount £646,000 (GBP)
Funding ID ES/R004005/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 10/2017 
End 09/2019
 
Title DML System framework 
Description The DML infrastructure is distributed framework for on-site audio analysis and collection-level analysis, semantic computation management system, with an interactive visualisation interface. 
Type Of Material Improvements to research infrastructure 
Year Produced 2015 
Provided To Others? Yes  
Impact A distributed research system for big music data analysis. 
URL http://mirg.city.ac.uk/cp/home
 
Title DML chord sequence visualisation 
Description The DML chord sequence visualisation enables the explorative study of musical chord sequences in large datasets. 
Type Of Material Improvements to research infrastructure 
Year Produced 2014 
Provided To Others? Yes  
Impact The chord sequence visualisation was used in musicological studies. 
URL http://dml.city.ac.uk/chordseqvis/
 
Title DML parallel audio processing back-end 
Description The DML back-end enables parallelised audio feature extraction. 
Type Of Material Improvements to research infrastructure 
Year Produced 2015 
Provided To Others? Yes  
Impact The outcomes are available through the feature extractions of audio material by the British Library and other sources. 
URL https://code.soundsoftware.ac.uk/projects/dml_processing
 
Title DML audio features, high and mid level analysis, and similarity data 
Description The features of the audio tracks analysed by the DML and ASymMus projects, including low, mid, and high-level features and similarity data, are available for download through our SPARQL endpoint. Also on request in other formats. 
Type Of Material Database/Collection of data 
Year Produced 2015 
Provided To Others? Yes  
Impact This data is the basis for musicological work with the DML interface, which continues to take place. 
URL http://mirg.city.ac.uk/cp/home
 
Title Temperament resources 
Description Temperament data for audio analysis. 
Type Of Material Database/Collection of data 
Year Produced 2014 
Provided To Others? Yes  
Impact Publication in Early Music 
URL http://dml.city.ac.uk/resources/temperament/
 
Description British Library 
Organisation The British Library
Country United Kingdom 
Sector Public 
PI Contribution The British Library has been a research partner in the Digital Music Lab and has supported the ASymMus AHRC projects, and the just started Making Sense of Sounds project by Prof Plumbley (EPSRC) and the RAEng fellowship for Dr. Benetos. In these collaborations, the British Library provides access to audio and other media data, the curation and/or digitisation of collections and the creation of metadata.
Collaborator Contribution Researchers at City University London and other contributing universities (Queen Mary University of London, University College London, Lancaster University) have created hard and software infrastructure and applications that support the British Library in serving their users with advanced services and remote access.
Impact The collaboration has extended through out the the DML and ASymMus project and is ongoing in the above mentioned projects. We have also applied for new projects with the European Commission (under review) and are planning to apply for a research project with the EPSRC.
Start Year 2014
 
Description EPFL collaboration 
Organisation Swiss Federal Institute of Technology in Lausanne (EPFL)
Country Switzerland 
Sector Public 
PI Contribution The Metamedia Centre at the EPFL hosts the audiovisual archive of the Montreux Jazz Festival. The Metamedia Institute has applied for a grant (CHF 100k) where Prof Simon Dixon and Dr Tillman Weyde will be active as advisors and the DML system will be used as part of the planned system for copyright-compliant research on the Metamedia archive.
Collaborator Contribution The Metamedia archive will be a user of the our system and give access to their data.
Impact No outputs yet.
Start Year 2018
 
Description I Like Music Ltd 
Organisation I Like Music Ltd
Country United Kingdom 
Sector Private 
PI Contribution The DML and ASymMus project provide the hard- and software infrastructure for music analysis.
Collaborator Contribution I Like Music provides access to over 1 million audio tracks of commercial music and several hundred thousand tracks of production music.
Impact The ILM data is an important contribution to enable music analysis on sizeable collections.
Start Year 2014
 
Title DML Research Information and Result Management System 
Description https://code.soundsoftware.ac.uk/hg/dml-open-cliopatria. 
Type Of Technology Software 
Year Produced 2015 
Open Source License? Yes  
Impact This software implements the back-end information management developed in the DML and ASymMus projects that enables data analysis with the DML. It provides the API for the Web interface and access via SPARQL and Prolog. 
URL https://code.soundsoftware.ac.uk/hg/dml-open-cliopatria
 
Title DML Visualisation Framework 
Description The visualisation layer of the DML, allowing the analysis of music data collections. 
Type Of Technology Software 
Year Produced 2015 
Open Source License? Yes  
Impact This software was used in the DML and it's follow-on project ASymMus, as well as in the recent Musical Theatre project. 
URL https://code.soundsoftware.ac.uk/hg/dml-open-vis
 
Description DML and ASyMMuS projects at DMRN+9 workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Current progress on the DML and ASyMMuS projects were presented at the Digital Music Research Network Workshop 2014 (DMRN+9), taking place on Tuesday 16th December at Queen Mary University of London. The list of project-related presentations is as follows:

"The ASyMMuS project: An integrated audio-symbolic model of music similarity", Emmanouil Benetos, Daniel Wolff, Tillman Weyde (City University London), Nicolas Gold, Samer Abdallah (University College London) and Alan Marsden (Lancaster University)
"Towards analysing big music data - Progress on the DML research project", Tillman Weyde, Stephen Cottrell, Jason Dykes, Emmanouil Benetos, Daniel Wolff, Dan Tidhar, Alexander Kachkaev (City University London), Mark Plumbley, Simon Dixon, Mathieu Barthet, Steven Hargreaves (Queen Mary University of London), Nicolas Gold, Samer Abdallah (University College London), Aquiles Alancr-Brayner, Mahendra Mahey and Adam Tovell (The British Library)
Year(s) Of Engagement Activity 2014
URL http://c4dm.eecs.qmul.ac.uk/dmrn/events/dmrnp9/
 
Description DML and ASymMus projects at FMA 2015 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Work carried out on analysing world and traditional music as part of the DML and ASymMus projects was presented at the 5th International Workshop on Folk Music Analysis (FMA 2015). FMA took place on 10-12 June in Paris, France. Project-related papers are listed below:

S. Abdallah, A. Alencar-Brayner, E. Benetos, S. Cottrell, J. Dykes, N. Gold, A. Kachkaev, M. Mahey, D. Tidhar, A. Tovell, T. Weyde, and D. Wolff, "Automatic transcription and pitch analysis of the British Library World & Traditional Music Collection"
A. Leroi, M. Mauch, P. Savage, E. Benetos, J. P. Bello, M. Panteli, J. Six, and T. Weyde, "The deep history of music project"
Year(s) Of Engagement Activity 2015
URL http://fma2015.sciencesconf.org
 
Description DML and ASymMus projects at Musical Timbre Workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Recent work on instrumentation recognition and on music that was carried out as part of the DML project was presented at the Workshop on Musical Timbre, that took place on 14th November at Télécom ParisTech, in Paris, France.
Year(s) Of Engagement Activity 2014
URL https://musictimbre.wp.mines-telecom.fr
 
Description DML at UCL Digifest 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Undergraduate students
Results and Impact The first UCL Digifest was held last month, from 10th-14th November. Digifest is "a celebration of all things digital at UCL", which for the UCL Music Systems Engineering Resarch Team (a.k.a MUSERT) , a.k.a Nicolas Gold, Samer Abdallah and Christodoulos Aspromalis) meant a chance to show off some of our recent activities as well as to call together the first meeting and performance of the UCL Laptop Orchestra, or UCLOrk.

At the showcase session on Friday 14th, we demonstrated various music-related applications, including Christodoulos's affective generative music system for computer games, the MiCLUES app (MiCLUES is a Share Academy/Arts Council England-funded project in collaboration with the Royal College of Music (RCM)) to guide museum visitors to the Museum of Instruments at the RCM., a device to help keep to the recommended 4 minute shower time limit, and a prototype of the DML information management system. The DML prototype allowed users to browse an RDF graph containing information about a local collection of audio files and symbolic scores, and then use this as a jumping off point for going out into the Semantic Web to pull in more information (via Linked Open Data and SPARQL endpoints), for example, from MusicBrainz (and LinkedBrainz) or DBpedia.
Year(s) Of Engagement Activity 2014
URL http://ucldigifest.org
 
Description DML presentation at QMUL EECS Research Showcase 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact DML presentation at QMUL EECS Research Showcase (event open to the public), April 2015.
Year(s) Of Engagement Activity 2015
URL http://www.eecs.qmul.ac.uk/research-showcase-2015
 
Description DML project at "Quantitative Data and Music Research" symposium 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Professional Practitioners
Results and Impact The DML project was presented at the "Numbers, Noises and Notes: Quantitative Data and Music Research" symposium, which took place on Tuesday 16th June at The Sussex Humanities Lab, University of Sussex.

During the symposium, Dr Tillman Weyde (PI for the DML project) gave a talk on "Analysing Big Music Data: Audio Transcription and Pitch Analysis of World and Traditional Music".
Year(s) Of Engagement Activity 2015
URL http://www.eventbrite.co.uk/e/numbers-noises-and-notes-quantitative-data-and-music-research-symposiu...
 
Description DML project at AES 'Cutting Edge Research' event 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact The DML project was presented at the event sponsored by the Audio Engineering Society, entitled "Cutting Edge Research - from City University and King's College London", which took place at City University on 14th October.

The event showcased cutting edge research from City University's Music Informatics Research group and King's College London's Centre for Telecommunications Research. As part of the event, Tillman Weyde gave a talk on the group's activities (including the DML project), and Dr Dan Tidhar presented the poster entitled "Big Data for Musicology and Music Retrieval".
Year(s) Of Engagement Activity 2014
URL http://www.aes-uk.org/forthcoming-meetings/cutting-edge-research/
 
Description DML project at BL Labs Symposium 2014 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact Current progress and future directions of the DML project were presented by Daniel Wolff and Adam Tovell at the British Library Labs Symposium 2014, which took place on Monday 3rd November 2014, at the British Library Conference Centre.
Year(s) Of Engagement Activity 2014
URL https://www.eventbrite.co.uk/e/british-library-labs-symposium-2014-tickets-13385782235
 
Description DML project at ISMIR 2014 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Other audiences
Results and Impact Current work on the DML project was presented at the 15th International Society for Music Information Retrieval Conference (ISMIR 2014, Taipei, Taiwan):

At the Late-breaking and demo session, we presented the demo/poster "Visualising chord progressions in music collections: a big data approach"
At the Unconference session, we organised a discussion on "Big Data for Music Analysis and Musicology"
Year(s) Of Engagement Activity 2014
URL https://docs.google.com/presentation/d/1QCOEin_knKc0LzgyZozpZKUcULCJwa6MDjqKhju3Ob0/edit#slide=id.p
 
Description DML project at Imperial Big Data workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact The Digital Music Lab project was presented during the 3-day workshop on "Big Data: Challenges and Applications", that took place at Imperial College London on 17-19th February.
Year(s) Of Engagement Activity 2014
URL http://wwwf.imperial.ac.uk/~bm508/bigdata14.html
 
Description DML project at NCSML Workshop on Big Data 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact The Digital Music Lab project was presented at the workshop "Big Data, Big Models, it is a Big Deal" that was organised by the EPSRC network on Computational Statistics and Machine Learning (NCSML). The workshop took place at the University of Warwick between 1-2 September 2014.
Year(s) Of Engagement Activity 2014
URL http://www2.warwick.ac.uk/fac/sci/statistics/research/csmlnetwork/network-activities/workshops/2014/
 
Description DML project at THATCamp British Library Labs 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact DML project members participated at the THATCamp British Library Labs, which took place on 13th February 2015 at the British Library. THATCamp stands for "The Humanities and Technology Camp", that is an open, inexpensive meeting where humanists and technologists of all skill levels learn and build together in sessions pitched and voted on at the beginning of the day.
Year(s) Of Engagement Activity 2015
URL http://britishlibrary.typepad.co.uk/digital-scholarship/2015/02/thatcamp-british-library-labs.html
 
Description DML project at the Society for Ethnomusicology Annual Meeting 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Progress on the DML project was presented by Stephen Cottrell at the 59th annual meeting of the Society for Ethnomusicology, taking place on 13-16 November in Pittsburgh, Pennsylvania.
Year(s) Of Engagement Activity 2014
URL http://www.indiana.edu/~semhome/2014/index.shtml
 
Description Digital Music Lab 1st Workshop on Analysing Big Music Data 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Participants in your research and patient groups
Results and Impact We gathered requirements and desiderata for technological support of musicological research. This has been documented on our web site and further influenced our work in the DML project.

The information gathered was very useful for the DML project so far and the workshop has raised awareness of the DML project in the relevant academic communities.
Year(s) Of Engagement Activity 2014
URL http://dml.city.ac.uk/workshop/
 
Description Digital Music Lab Final Workshop on Analysing Big Music Data 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The final workshop of the DML project took place at the British Library on 13 March 2015. Following short presentations and demos of project outputs and tools, the workshop was dedicated to a hands-on guided session, in which the project's analysis and visualisation tools were applied to relevant large-scale music collections (including the British Library's Sound Archive). Musicological insights obtained by the big data approach to these collections were shared and discussed.
Year(s) Of Engagement Activity 2015
URL http://dml.city.ac.uk/final-workshop/
 
Description Talks at the European Conference on Data Analysis 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The two presentations lead to questions and discussions on audio data analysis at scale and its use for music research.

The talks met with interest by the international academic community present.
Year(s) Of Engagement Activity 2014