OpenScore - by MuseScore and IMSLP

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OpenScore - by MuseScore and IMSLP
Open-sourcing music with open source software
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OpenScore is a new initiative to liberate public domain music using MuseScore,the leading open-source music notation program. The aim is to uniteMuseScore’s millions of users in an effort to digitise and liberate the worksof Mozart, Beethoven and other famous classical composers. OpenScore extendsthe principles of open source to apply not only to software, but also to thecontent produced by the software, thereby opening up a new avenue of fundingfor open source software development. The goal of OpenScore is to improve access to public domain music. The projectis a collaboration between MuseScore, the leading open-source music notationprogram, and IMSLP, the largest online archive of public domain music. The IMSLP archive contains scanned copies of scores by Mozart, Beethoven andother classical composers in “binary” PDF format, which allows musicians toread them, but not edit or listen to them. OpenScore will unlock the truepotential of the scores by making the actual “source code” to the musicavailable in MuseScore’s text-based format, which allows listening, editing,and easy conversion to other formats like MusicXML, MIDI and PDF, as well asall audio, video and image formats. Text-based scores offer improvedaccessibility over PDFs, and are easily parseable by software tools to allowsearching, indexing, data mining, and analysis for research purposes. To make this happen, OpenScore will adopt the open source model and draw uponthe strength of MuseScore’s massive online community. The digital scores willbe published under a Creative Commons license to allow anyone to adapt, shareand improve upon the transcriptions. OpenScore partners: MuseScore, IMSLP, RNIB, St Andrews, music21, NicholasRougeux
MIDI Collaborationism Open source Software Mapping Projective plane Open source Open set
Source code MIDI Parsing Freeware Process (computing) File format Source code MIDI Raster graphics Computer Semantics (computer science) Resultant
Covering space MIDI Open source Demo (music) File format Variety (linguistics) Transport Layer Security Ordinary differential equation Computer Time domain Positional notation Different (Kate Ryan album) Text editor Quicksort Library (computing) Chi-squared distribution
Covering space Web page MIDI Computer program Freeware MP3 Open source Variety (linguistics) File format Open source Android (robot) MIDI Open set Raster graphics Function (mathematics) Number Revision control Medical imaging Process (computing) Positional notation Software Different (Kate Ryan album) Series (mathematics) Website
MIDI Computer file File format Order (biology) Maxima and minima Website Element (mathematics) Element (mathematics)
MIDI Personal digital assistant Different (Kate Ryan album) Self-organization Integer 5 (number) Number
MIDI Moment (mathematics) Reading (process)
Positional notation Different (Kate Ryan album) Function (mathematics) Computer font
MIDI Computer file Key (cryptography) Information Open source Moment (mathematics) Translation (relic) Student's t-test Line (geometry) Storage area network Electronic signature Formal language Positional notation Tablet computer Different (Kate Ryan album) Universe (mathematics) Quicksort Resultant Computing platform
Machine learning MIDI Algorithm Artificial neural network Projective plane Virtual machine Volume (thermodynamics) Function (mathematics) Distance Computer Graph coloring Visualization (computer graphics) Cuboid Representation (politics) Circle Quicksort
Covering space MIDI Presentation of a group Open source Content (media) Maxima and minima Open set Software Hypermedia Videoconferencing Video game Quicksort 5 (number) YouTube
Optical character recognition Computer file Open source Link (knot theory) Variety (linguistics) Multiplication sign 1 (number) Set (mathematics) Open set Code Wave packet Attribute grammar Time domain Medical imaging Different (Kate Ryan album) Videoconferencing Data conversion MIDI Standard deviation Pattern recognition Matching (graph theory) Information Artificial neural network File format Building Shared memory Type theory Message passing Process (computing) Website Energy level
welcome everybody please give a warm
welcome to mr. Peter Jonas who's going to tell us about doping score [Applause] okay everyone so I'm going to talk about open Scott which is a collaborative project between musescore and imslp and we want to open source music using open source software what do we mean by open source music well we want to liberate the music from copyright restrictions so everyone can do what they want with it and we also want to liberate it from paper we want digital music you basically if you think of what OpenStreetMap did for maps and project gutenberg did for books we want to do the same for sheet music so how would
you go about doing that well it's a two-step process you start from the original score and then you have to get it you have to get it onto a computer somehow so we need to scan it and convert it into a bitmap image but it doesn't end there because the next step is we want to turn it into a semantic score something that we can play an extract data from and the end result is
that we'll get the actual musical source code in an XML format which is editable and possible and then we're going to release it and a Creative Commons license so everyone is able to do whatever they want with it and so this
would allow you to listen to music edit it and share it and I've got a quick demo of that so here we have some sheet music within music score which is a open source music notation editor so you can listen to the music and you can edit it and then you can share it with the world in a variety of different formats so yeah so that's so the the sheet music is very much a living Beast once you get it onto the computer so to cover step one
getting it in scanning the music where this is where we're partnering with imslp so they have there's a vast community of users who are uploading scanned copies of sheet music that they find around the world in libraries and private collections so this is old editions that are no longer in copyright so this is the sort of thing you'd expect if you on imslp so we have Tchaikovsky's six symphony here so you can see all the variety of different formats it's available to download in
but what you get out of this is a PDF file so just a series of pictures of pages so it's quite static it's not it's not living like the the XML music is so then the next step is musescore and this is where musicals community comes in so musescore is an open source music notation program and GPL version 2 but it's also a community of sheet music creators who use the software to create their own original compositions or to transcribe existing pieces and then they upload that to music or to come and share it with the world so starting from this bitmap score the PDF file this is how you'd go about entering the notes into musical so it's a very long and tedious process for one person to do it on their own but by outsourcing it to a bunch of do to many individuals we can go from just a few notes to a whole score and you see what we've done here is we've added a nice cover to it for the the open score Edition [Music] so this is that Tchaikovsky that I showed you a minute ago in the the PDF file that's been added typed up by new scores users and we sent this out to a whole bunch of them we gave them two pages to do each and after a week we got back this whole symphony and once you've got it in to musescore
and you have this XML you can then output it in a variety of different formats so you could see them here so there's the main music XML for sharing with other notations software but then of course you can output in a number of different image audio and video formats as well and then because we release
under a Creative Commons license it gives you the freedom to do whatever you want with the file as long as you credit that you got it from open score so how
are we how is this going to happen so we really want to kickstart this and to incentivize music's users to get out there and start transcribing these pieces to get them into the digital formats and the way that we're going to do that is we're going to incentivize them with free membership of the music or comm website which allows them to share as many scores as they like and in order to to fund this and provide these rewards and incentives we'll be running a Kickstarter and so the money from the Kickstarter will go towards incentivizing the crowdsourcing effort
so what will happen with the Kickstarter is that the backers will select the pieces to transcribe and then we will hand them out to musicals users to produce the transcriptions and then we will check those transcriptions to make sure that they match the originals and and provide an exact semantic copy of the original music so if you say if you go onto the musical comm and you're looking for the Beethoven's 5th Symphony then you'll know that that's exactly what you're getting there's no no edits no you're getting the exact
original and there's a whole number of different use cases that we envision that people will want to use these scores for and we're partnering with these other organizations to make these happen so you can see some of them there and I'll talk about some of these different use cases so the number one is
accessibility so you can see so if
somebody's partially sighted and they're trying to read sheet music then at the moment there's you they have to use some kind of magnification technique but we can do better than that
so once you have the semantic score you are able to to enlarge it to change the fonts and make something called modified stave notation or you can color
different notes for people with reading disabilities like dyslexia and we can even output Braille as well for blind musicians and of course once you have
the digital file you're able to enjoy the music on a range of different
devices and publish it on various
different platforms so one of the more interesting uses that's happening at the moment is some students at the university of san andrews are using mousse court who produce translations of French operas they're translating them into English and when you have the digital file in musescore it allows you to write the trans alaric translation straight underneath the original language and then the students can share their translations with each other they don't have to worry about copyright issues from photocopying music that kind of thing or you can use these files as a research tools so if you pair it with the open source music 21 toolkit then you can extract information from the scores sort of how many notes of each different kind are there or what key signatures did the composer use and then thanks to the Creative Commons license researchers can publish their results and any license of their choosing and
once we have these digital scores we'll be able to feed them into artificial intelligence machine learning algorithms to try and teach computers how to create music so you might have heard of these projects where they teach the computer how back would the sort of box style of composition and then the computer can output another piece that was not made from any of Bark's pieces but is in box style so machine learning that kind of thing and the other thing you can do is
you can create these artistic visualizations from the sheet music so this is made by another of our partners and this is a visualization of the Four Seasons and if you start at the top and you read it clockwise that tells you the where you are within the piece and the each dot represents a note in the score the size of the dot is the volume and its distance from the the center of the circle is its pitch so that's a visual representation of a score and the colors tells you which instruments we use
so there's various other uses as well like video games so you can imagine sort of playing along with a score or remix in the content and one of the the
ultimate goal is to have to be able to give the most enriched experience with the music as possible so to use the the music that the sheet music to to enrich other media such as videos that kind of thing so I have a demonstration of that over here so this is Beethoven's fifth symphony that has we've made an open score Edition so you can see we've given it a cover page made by the the visual artist and then we've synchronized this with a YouTube video using open source software [Music] so if you have the curious as to what Beethoven's 5th Symphony actually looks like then now you know [Music] so now that's the presentation so now
we'll take questions thank you so thank you very much if there are any questions please raise your hand I'll get the mic to you how soon will you be accepting volunteers from you scorch transcript for open skort transcribing so we're currently running a pilot project to transcribe the Tchaikovsky piece and we've just put out a notice on the musical websites so you'll be able to sign up using this link to register your interest and we should be ready to start going within a month or so yeah concerning compatibility you've mentioned music XML but did not mention the music and coding initiative for example is there a reason for that the music encoding initiative initiative yet it's another standard for XML but we're going for open as many formats as possible and there's assuming that your user codes can import music XML then it will be compatible with that but we can export MIDI and a whole variety of different formats I have two related questions first of all your your licensing under general Creative Commons what was the rationale behind not either asking frack for attribution which to many composers would be important they have to give it away but they would like to know that they composed it and secondly share alike to ensure other people behave in the same way and then relates that if you describe what seemed a very centralized process what if someone comes up and says I've actually happened to have done a complete transcription of some piece of music are you set up to take contributions even if they weren't the ones you originally asked for yes so we will where we find existing compositions that are either and a compatible license or the person is willing to license them to us under a suitable license then we are happy to use those and why did we choose the Creative Commons Attribution license rather than share-alike where we we wanted to be as open as possible I guess is the reason to that and it's something that we are still considering but we basically wanted it to be as open as possible so the the file you can already get the PDF files are already available and completely open licenses and we don't want to restrict other people artists and so on from monetizing the things that they create using open Scott are you building tools for melody recognition tool now you have all those source pass I for image recognition was that melody recognition melody recognition yes so you heard of the music 21 toolkit that does you can extract various information using that I'm not sure if it's familiar with melody recognition there is that also there is the the tool that we use to synchronize the the scores with the videos that does it matches the the two different sound sources together yeah so I think this is time for one more question anybody is this typing in of music or not a lot of work isn't it easier to do something like OCR or something okay so there are tools that can do an automatic conversion but they're currently not reliable enough at least not the open-source ones so we want to we're going to type this in manually but what that will do is it will give us a set of PDFs and the matching XML scores and then we can use that to Train artificial intelligence to make the Cata Matic conversion process more reliable in the future so thank you very much thank you [Applause]


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