Allik, A

Metzig, C

Sandler, M

Thalmann, F

Web Audio Conference

English

Queen Mary Research Online

moodplay.github.io:an online collaborative music playerAlo Allik, Florian Thalmann, Cornelia Metzig, Mark SandlerCentre for Digital Music, Queen Mary University of London{a.allik, f.thalmann, c.metzig, mark.sandler}@qmul.ac.ukABSTRACTIn this demo, we present an online music streaming systemthat allows users to collaboratively choose music by mood,but also personalise the experience by creating private par-ties where users can control who to invite to join the partyand in which tracks can be shared with other participants.The music is automatically mixed by an auto-DJ modulethat models various DJ-ing styles using content-based audiofeatures that represent musical parameters such as tempo,beats, bars, keys, instrumentation and volume.DESCRIPTIONmoodplay.github.io is an online music streaming platformthat allows users to collaboratively choose music by moodusing browsers on mobile devices. Users can participate inthe global Moodplay party where everyone is added uponarrival, but they can also create personal parties and con-trol who are invited. There is functionality that allows par-ticipants to share their favourite tracks with other invitedparticipants. The system analyses the uploaded tracks byaudio features to find their corresponding mood coordinates,so that the automatic DJ module can incorporate the newadditions to the continuous mix. The interface is basedon 2-dimensional scattering of tracks in a mood space de-rived from user tags in https://www.last.fm/. Each trackhas been assigned coordinates that range between negativeand positive on the horizontal axis and calm to excited onthe vertical from bottom to top. The users can explore themood space and vote what kind of music they want to listento while also being shown the preferences of other partici-pants. Since each vote lasts for a limited time, the systemkeeps updating the average mood selection of all partici-pants of the party. This means that the player cursor thatkeeps track of the average moves continuously around thespace and a new track is selected after a certain time. Themusic is automatically mixed by an automatic DJ modulethat models various DJ’ing styles using content-based audiofeatures that represent musical parameters such as tempo,beats, bars, keys, instrumentation and volume to find thebest match for next tracks in the continuous mix by tempo,Licensed under a Creative Commons Attribution 4.0 International License (CC BY4.0). Attribution: owner/author(s).Web Audio Conference WAC-2019, December 4–6, 2019, Trondheim, Norway.c© 2019 Copyright held by the owner/author(s).Figure 1: moodplay.github.io user interfacetonality and timbre.The system consists of an Angular1 front-end accessibleat https://moodplay.github.io and Express.js2 server appli-cation, https://moodplay-data.herokuapp.com/ that storestrack metadata, mood coordinates and audio features forthe auto-dj3 module.TECHNICAL REQUIREMENTSmoodplay.github.io can be demonstrated with the simplestof setups on a laptop, but can be enhanced, if facilities per-mit, by a large screen and an audio system (if it is not dis-ruptive to other demonstrators). Alternatively an audio in-terface with multiple headphone outputs could be helpful.ACKNOWLEDGMENTSThis work was supported by EPSRC Grant EP/ L019981/1,“Fusing Audio and Semantic Technologies for Intelligent Mu-sic Production and Consumption”. We would like to ac-knowledge the contribution of Mathieu Barthet and Gyo¨rgyFazekas, who created the original installation version ofMoodplay.1https://angular.io2http://expressjs.com3https://www.npmjs.com/package/auto-dj

moodplay.github.io: an online collaborative music player

https://qmro.qmul.ac.uk/xmlui/bitstream/handle/123456789/62419/Thalmann%20moodplay.github.io%202019%20Published.pdf?sequence=2&isAllowed=y

moodplay.github.io: an online collaborative music player

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