Augmented Reality Musical Ensemble (ARME)

Lead Research Organisation: University of Birmingham
Department Name: School of Psychology

Abstract

In musical ensembles such as piano duets, jazz trios, string quartets, rock groups, samba bands, and drum circles, there is no single stable reference for performance timing and musicians must time their performance to each other. This collective timing requires practice, but group rehearsals are not always feasible, leaving musicians to practice solo for much of the time. One established alternative to group rehearsal is to follow a recording of a group playing, with one track omitted. This form of practice leaves out the interactive and mutually adaptive elements of a group rehearsal. We will develop a system that creates virtual musicians based on audio-visual recordings of professional players, with timing patterns that are individually modulated in real-time and that can dynamically synchronise to each other to maintain ensemble, as happens in a real performance. We will allow the user to learn by employing their own instrument interacting with virtual musicians and so progressively improve their musical skills. Such a system not only makes it possible to practise ensemble performance in situations where partners are not available; it also allows the real musician to individually control the timing adjustability of each of the virtual musicians as well as to measure his/her own adjustment characteristics.

Our point of departure for this project is classical string duos, trios, and quartets since these are a relatively standard format and they introduce essential challenges that need to be overcome for a more generalised model of ensemble timing with larger groups. However, the outcomes will likely be applicable to a variety of instrumental ensembles and musical genres. Based on an analysis of string players' synchronisation and coordination in different musical conditions, we will develop a near real-time model of individual players' timing characteristics, enabling the development of a system that can adapt note timing to the dynamic evolution of the performance. Through one of our industrial partners, PartPlay, we will have access to recordings of world-leading quartet performances, giving users the experience of playing using their personal string instrument with a virtual version of some of the most skilled professional musicians.

The virtual component of the experience will include both audio and video recordings, offering a multisensory, immersive and realistic rehearsal where every performance is unique and adapted to the skills of the individual. In particular, the system is expected to make a significant contribution to distance-learning musical tuition. Covid-19 makes the e-learning implications particularly relevant, but the system will also offer music students who are otherwise home-bound due to disability greater access to ensemble practice. Furthermore, expansions of the technologies developed in the project may impact the entertainment industry, for example, for mixed reality performance.
 
Description Embodied Timing and Disability in DJ Practice
Amount £200,002 (GBP)
Funding ID AH/W000954/1 
Organisation Arts & Humanities Research Council (AHRC) 
Sector Public
Country United Kingdom
Start 02/2022 
End 07/2023
 
Title AR Asynchrony 
Description This repositoy holds project files, data and analysis scripts related to the AR synchrony study with videos 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact Can be used by other reserachers to test the audiovisual asynchrony of VR and AR setups 
URL https://github.com/arme-project/AR_Asynchrony
 
Title ARME Audio Recordings 
Description The ARME project conducted recording sessions in September 2021. The corpus includes over 750 individual recordings from over 250 performances which highlight different playing styles termed conditions. The used conditions represent concert style as well as styles vary in different levels of musical expression. A portion of this corpus has been released as part of the Virtuoso Strings Dataset. The remaining recordings are used internally and are planned to be released with the future publication outputs. Additionally, the corpus is extended to include recordings from a pilot study conducted in February 2023. These recordings consist of seven new musical conditions which will contribute to the future outputs of the project. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? No  
Impact At present, onset detection datasets contain only a few string instrument examples; further, no datasets contain multiple recordings of the same piece with repeated musical instances and contexts. To mitigate this problem, the ARME audio recordings corpus addresses these challenges. 
 
Title ARME Github account 
Description Github account container with projects and datasets stemming from the grant 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact The account can be followed and can help researchers discover other datasets and tools 
URL https://github.com/arme-project
 
Title ARME Onset Annotations 
Description The onset annotations include human labels of note events for the audio recordings captured through the ARME project. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? No  
Impact To address the paucity of data containing expert annotations of onsets in string instruments within the field of music information retrieval, the ARME project began the curation of note onset annotations. To date, over 340 (~45%) of individual audio recordings have been annotated. 
 
Title Haydn Annotation Dataset 
Description The Haydn Annotation Dataset consists of note onset annotations from 24 experiment participants with varying musical experience. The annotation experiments use recordings from the ARME Virtuoso Strings Dataset. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact To address the paucity of data containing expert annotations of onsets in string instruments and to promote research in best practices for annotation of soft onsets the Haydn Annotation Dataset is made publicly available. 
URL https://github.com/arme-project/haydn-annotation-dataset
 
Title Virtuoso Strings 
Description Virtuoso Strings is a part of a larger collection of recordings and annotations captured through the ARME project for the study of musical performance synchronisation. The dataset consists of 144 audio recordings as well as human annotations of onsets present in string ensemble instruments. More recordings captured through the ARME project will be released in the future. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact At present, onset detection datasets contain only a few string instrument examples; further, no datasets contain multiple recordings of the same piece with repeated musical instances and contexts. To mitigate this problem, we present the Virtuoso Strings dataset, which consists of audio recordings of individual string instruments performed by a professional string quartet in a variety of musical and expressive conditions. 
URL https://github.com/arme-project/virtuoso-strings
 
Title Adaptive Metronome 
Description The adaptive metronome is an audio plugin that allows a user to tap to a virtual quartet playing a piece of classical music, in which we manipulate each player's correction strength and level of fluctuation in timings, to investigate interpersonal synchronisation in a virtual quartet. 
Type Of Technology Software 
Year Produced 2022 
Open Source License? Yes  
Impact The audio plugin allows the user to tap, with each tap corresponding to a note in music where our plugin produces sounds of the actual note. We are now extending Adaptive Metronome to be more responsive to different input timings, where the initial set of parameters become flexible and dynamic, subject to the timing of the taps produced by a user. The plugin will be part of future contributions for the ARME project. 
 
Description @ARMEproject 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact The project team maintains a twitter account to publicise the activity of the team members and re-tweet stories of interest.
Year(s) Of Engagement Activity 2022,2023
URL https://twitter.com/armeproject
 
Description ARME website 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact The project is operating a website to publicise its activities and outcome. It contains a description of the project, its team, publications, a blog with news, and a demo section. The website has been browsed by more than 1200 unique visitors.
Year(s) Of Engagement Activity 2021,2022,2023
URL http://arme-project.co.uk
 
Description Hack the midlands 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Postgraduate students
Results and Impact 24-hour hackathon for hundreds of passionate technologists. We collected data from 50 participants.
Year(s) Of Engagement Activity 2022
URL https://hackthemidlands.com
 
Description Presentation at Creative Futures Event on Future of Education 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact Creative Futures is the gateway between the University of Warwick and the region's creative cluster. We presented the ARME project at the Unlock: future of learning, an evening event heal in Leamington Spa. The event provided an opportunity for creative and digital disruptors and researchers to share knowledge and expertise in the area of Virtual and Augmented Realities for education.
Year(s) Of Engagement Activity 2023
URL https://www.eventbrite.co.uk/e/unlock-future-of-learning-tickets-514182141627?utm_source=eventbrite&...
 
Description STEM Connections Initiative 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact "STEM Connections is a Research England funded project at the University of Warwick that highlights the technology that is being researched at the university, the impacts that research could have on the local population and wider society, and the personal stories of the people involved in that research. "

In particular, myself and Dr Mark Elliott worked with the initiative to deliver talks in schools, and provide a digital interview, amongst other things.
Year(s) Of Engagement Activity 2021,2022
URL https://warwick.ac.uk/fac/sci/wmg/about/outreach/stemconnections/