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How to make music from deepspace, wall street or biofeedback

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without the so good afternoon every at evening I think already everyone um and we're just gonna talk about shortly uh and give an overview of how I combine music and mathematics to resort to fuels passions and and the street projects I'm gonna talk
about but before that to starts I will just give you an overview of how I came to and combining music and mathematics because I didn't do it overnight it took some years to find 2 different ways to combine the 2 and and this is a little bit through the auditory parts so uh about the background and how in what my motivation was and is so originally this this and the the 1st page of my PhD probably nobody dada mathematicians here at I don't think so normally the no small of mathematicians so ontology as started of as a pure mathematician as they call it and then and I am they the Ph.D. in the field of superstring theory has so that's the 1 area of theoretical physics and which is now being exported more and more now after that was in 2 thousand and 1 that is finished uh the Ph.D. and In mathematics but of always was and am also very fascinated by music and so that's a little bit to reason why after this and study in mathematics I looked
for ways to to get more music the in uh the mathematical ideas and techniques that I wanted to explore and this is how I am and ended up working for a couple of years for 4 years at the Institute for psychoacoustics electric music so that's a part of University of Ghent so i come from from against it and little town in Belgium and northern parts and and there I was doing research on music and emotions so the idea was to see if you can describe emotions that you have if you hopefully what you have to listen to music you can describe them using mathematical models and if you could do something with those models I will come back to that later that I am not after doing this research at so this institute I was starting to work with interactive musical
projects that I've yeah I felt that I missed a lot of knowledge from music and so I had no formal training and that's why I decided to and study music composition at your oral conservatory in Ghent so again the city where I live for the moment now and during all this time that's another aspects have also been working and still do today as a consultant in applied mathematics and are you the same mathematical modeling so and also start now in beginning it was very separated this work from my artwork but I also found ways to start to integrate that into my artistic work so this is really article or boring mathematics probably for most of you have but you can do stuff but it's an I'll show you now everything starts in my work and
with a belief but that's my personal belief and of course we have a lot of art science projects and it's an old idea that there is no boundary between those 2 it's comes from the greek so when you look at the old Greek and as Science division you could say there was no distinction as we know between music and and mathematics and physics so I bet I really it's from a personal experience that from the mathematics is also very artistic doing creating mathematics is really an art form it's is a very intuitive process because most people think it's very rational but for me it's not the case so
and these are 2 people who are for me on and portents and inspiring for the work that I will explain to you about uh I don't know if anybody knows 1 of those 2 probably not so here the last 1 is that he's a mathematician you see again mathematics and his name is good if you it'll is a mathematician from the beginning of the 20th century and why here is the important thing is very important and and uh artificial intelligence even today his work is very relevant uh what did he and investigates good kernel he proved so it there's a lot of things to do nowadays about Artificial Intelligence robots taking over our jobs robots taking over our privacy and everything is gonna be digitized robots are gonna become smarter than and this is still a singularity theory but the work of crips feudal counter counter contradicts this so what he did in the
19 twenties 19 21 to be
more at precise in 1921 he proved that you cannot learn a computer what's the real numbers are so and computer is not able to understand what 1 2 3 4 5 which you can add numbers
that's also a concepts and there is a 0 and if you add a number which 0 you get the same number this is not possible in a computer computer will never understand this and this is a very important arguments because if the computer cannot understand numbers how on earth would AB ever be able to speak or to understand emotions oral language not for me this guy is very important because I'm also working with artificial intelligence so and have to make it stands as an artist also at what your belief system is that the other in a guy here that's and it can Stein I and if you stand in he was living on but in the same period why is the important for me he was stating the same so um theory as good but for language so could kernel says there is a distinction between mathematics and reality there's always a gap mathematics does not describe completely reality and the British sides of the same for language he's investigating the gap you have if you use language to describe reality there's always a gap and this gap is from me very interesting because this gap can be filled with the hotspots that now
and said I'm gonna talk about Tre projects concrete projects in which I starting from those ideologies
and worked on combined music and mathematics and the 1st is called you most and so this was the 1st project that i that in there 2 thousand and 7 and I started developing this uh with a small team and uh it was supported by the Flemish authorities so the Flemish Government gave me a budgets and what was the idea of and is the idea of the most since the innocent is a system that is and a sort of an emotional intelligence I system it is a system that can automatically generate personalized that have a maximal emotional impact Ford a person who is using this system so in concrete how can you use it's practically practically you can use it to better go to the cinema you have headphones on and and the system will generate a soundtrack specially made for you that can be completely different than the soundtrack for your neighbor neighboring outburst the now how does it work it uses bio feedback so wearables these are also very popular nowadays again and it uses artificial intelligence so the wearables that arm using for are yet there you see it's a little bit and we were using heart rates measuring devices and stress level uh measure measuring leveling stress the level measuring device so those 2 parameters and to use the system 1st it's like a little child you have to train it so you couple yourself with the bias to this system it's a softer it's softer program and it's during the training phase the innocent will try to get you in 4 different kind of emotional states it will try to make you come down using music that better the
generates on the fly so the music is recall call at algorithmically generated so it it doesn't exist it's an algorithm that makes music and it's sort of an intelligence trial and error process using a technique from any i which is called genetic programming such that it looks for the right kind of musical spheres it's has to create to make you calm down once it learned that you wasn't
will try to get you a little bit last call nonsolid but stressed once that is being trained it will try to get you more stressed and at the end of course to face we call it at MIT what what tries to make you really really stressed using these and algorithmic models that are inside a computer once you've trained it's you have as we call it an emotional response profile so this is like information inside a computer that states to get you in this state I have to do this and and that's etc. after you've trained that's you can now uh so we use here you see it's in their performance that we did in the musical instruments museum in Brussels so it's also in Belgium the we use it's to automatically generate soundtracks for old black-and-white movies so for we yeah we were using the Phantom of your Opera from Julian Rupert's why we did we do that because we wanted to confront a completely new technology with a very old idea normally the Phantom of your product this is a movie by children Rupert from 1927 there's a piano player normally playing but we threw away the piano player and replace it by the technology of the most now during the life performs so this person was trained to wasn't and she is now listening to a personalized soundtrack generated by Emerson so this is all this hardware and you see also here a musician at that is because innocent for music generation interval used resources sources it can use audio material are you loops that atomic the 1st source 2nd source is it can take notes so this this over a technical tercets media data that's being generated by the system and you can attach centers students and the 3rd is it also generate generates life score is the summary screen here and the musicians are being directed by the most using annotations on those scores on the screen current we yeah and this was also an idea that we have to integrate the life musicians because I didn't want it's the performance to be like a lot of multimedia acts that's there is an artist sitting on a computer and press Space Bar and the thing starts and that's it coming I don't think that's interesting so briefly the
technology and that was used for evil sense and is so use all of techniques coming from a few this called creative evolutionary systems designed so it's a theory in which people you try to analyze human creativity using a computer that's basically it's him kind so it's old I mean it's a it's already involved in that these art projects from the nineties this is a very famous program Vox Populi you can find it online these are the and so apparent general uh and some algorithms generating visuals and so that's 1 factor that we
use the 2nd domain that were using was domain called affective computing so here you see this is a robot developed in 94 so it's in the museum of MIT and the name of the remote roboticist is nuts so it's an effective robot and it has a sort of an affective expression it can smile be angry it could talk to you it has a sort of throat system um but affective computing focuses on connecting man and machine using emotions and that's what we were doing using in what sense and
to connect those emotions we were using biosensors biofeedback wearables but at that time that we were developing this project it was 2007 it was not common to do that so the 1st by a sensor that we were using is this 1 it cost us 3 thousand euros so and nowadays we all know what you have them for free on your smartphone so you have a brain waves scanner 440 dollars that you can hack into stuff with so it evolved very quickly after we had that this project I mean and nowadays 10 years later but but we were using and by feedback and also Psychophysiology that's trying to connect the data coming out of the rebels to your emotional states it's not so easy because using normal wearables you can only see trigger your emotional intensity that you have but not emotions and classical psychology are classified using an intensity it can be strong portable and a valence of emotion can be positive or negative for example anger is negative and is a strong strong value depressed this has a low value and again negative but using normal biosensors as we call them
wearables you can only measure the intensity of the emotion pops the valence the but this is a performance or long time ago uh in leaders gallery Libby starts here in Berlin and with a dancer also we were
experimenting in advance you could also influence the system and no and the this is a functional diagram of this in was consistent and you can replace he was sent with another system you can replace image sound with another painting or a movie or whatever and this is a diagram how it works in the ideal case so you have a subjects a sort of person has been trained to the system there's a measurements of the psychophysiological response well 1st there's image and sound being generated the emotion listens and undergoes the image and sound measurement of the psychophysiological response so these are the wearable responses the goes into the game was sent you a sense gets to date that uses artificial intelligence and tries to generate new kind of image and sounds too directs the subject and maybe in other states and traits you have a sort of feedback loop that's then theoretical away that's the most since works or should work because for the moment there is no real feedback so and the point is once you train the it was his you train a today use its tomorrow but if you use it tomorrow to generate assigned from movie there's no changing of the of the model of the do you do response model anymore but this is the ideal case so then of course and and this is a classical
it's a classical example he must intervene in the interactive multimedia system and what is classical
and interactive multimedia systems is that you get new paradigms in arts you get new connections between the tree in the try at and rt of the artist here the audience and you have appeared in music the question is who is said the offer of the music that's being generated is its need who programmed the system we develop 2 algorithms is it's the person who is attached to the bias sensors because he or she influences the music at the music itself with the and it's all weird there's no score so it's really virtual at this non existing this also gives a very interesting problems for game for example if this is a yeah we do a concert and somebody wants to to write a letter to the game that I mean the music does not exist so so these are all interesting new paradigms and systems like the most since uh there's similar systems now being developed and by by streaming services like the user is trying to pick out the right kind of music for you it's more and more also being in getting into the commercial streaming circuits up and I'm
not the 1st working with bios feedback it there's a whole history of using biofeedback for artistic purposes this is the 1st 1 of the 1st performance ever made by Alvin Lucier in 1965 and it's called the music for solo performer it's a performance with purchase of instruments and brain waves in 1965 if you're interested you can check it on you tube you find the original recording it's a very famous important performance and from that's we to i from that moment on feedback was very popular or not popular very popular it's been and weights and now I have diffusing again there's a boost again of course connected with the new solutions in artificial intelligence so that's the 1st
projects combining emotions and music and mathematics the 2nd is there and I wanna talk about is uh Nicomit made as and may commit us as we call it the space sounds projects and it originated from a work which was commissioned to me by the Dutch Electronic Arts Festival that'd and that 1st of all of in 2014 the Commission the work uh uh to me to make you work with sounds and astrophysics space that was the topic of the festival so I started to think how to combine those 2 and then there are I had to high I all the little bits and I started sigh I decided to use the idea and the ideology or techniques from a hip-hop and because and apply that's to this projects so and have properly as we all know how did arise people were taking and and breaks coming from think records from this correctors cutting up and then there was an and
played its there wasn't C and C and on top of that so I decided to have the same strategy but only myfunc and discredits uh I should originate or from space or from deep space and the space is the region outside our solar system so beyond divergence planets that we know in our solar system now and are dose at sources those data sources there's 2 sources that I'm using for this project 1 is and all of recordings I'm using from that now suddenly user and typically from the voyager satellites so these are the 2 satellites which were launched in the end of the 70 it's and what the nozzle has done is transformed a lot of data that those satellites capture and the data contains mostly electromagnetic radiation and electromagnetic radiation is radiation which is being emitted by this light for example so in physics every astrophysical object a star the planets uh the were opposed such star or a black hole it to medical not completely and it will emit certain kind of as we call it electromagnetic radiation and avoid the satellite so this is 1 of the 2 satellites there too
they pass along for example say uh Saturn and they capture all the electromagnetic radiation and the Nasdaq gets gets those data on birth and then they use techniques coming from
the as field which is called beta certification to transform those wastes into sounds and they publish everything in online so you can find all those materials online so I was using those recordings and as a 2nd source I'm also using real numbers number streams so really boring like Excel's you could see with all kinds of numbers and then I'm using also data sonification techniques and software
like Adam maybe somebody knows this software very popular in the electronic music called the experimental scene this is Max maximum speed not so you can use max you can use for others open source software like pure data to transform those numbers into sounds to make them parables and those 2 sources I'm using it in my studio and than I make tracks with them with a certain thing and for the Dutch Electronic Arts Festival the theme was the voyage from birth to defer just exoplanet that we know don't In but that's all uh voyage ever make it's all about and make a sort of an audible voice search for the persons who are listening to it I was interested if you could all of i it's uh because of course if you go to a planetarium they can show you the images the visual part of its bits for me the quest is can also reach the same purpose only with sound
M. dataset occasion is in the fields which is rather you and it was successfully applied in the study of the sun for not the problem with the sun is if you want to study the internal workings of the sun so what's going on inside of the cell in the core there's a lot of it and achieve and thermonuclear reactions the problem is if you want to do it with their approach a satellite you the satellite here and here in birds it's so hot you cannot you cannot reach its as so astrophysicist had to find other ways to try to figure out the internal workings of the sun and that's where the data sonification was very handy what they did was they capture certain kind of radiation which was being emitted by the core of the Sun using special kind of techniques they turned into sound and in this way discovered a whole new things about the internal workings of the song this is a classical example of how we did certification can be used to earning gain up to you to have good to augment knowledge in astrophysics and this is and next phase in which I want to try to draw Bernie careerless projects as an hour you to this is
earned using so and this is where the the 1st slide of the of the the the the part on the juridical physics comes back again I'm originally when I studied started mathematics and doing at the PG I was very interested into the and it's a problem addressed the physics which is called the Greek unification theory and in theoretical physics there's a big problem because we have 2 theories as maybe you know we have bed relativity theory from Einstein and relativity theory will describe everything that is very heavy or at moves super super fast if you have something like that you need relativity theory but if you want to study something that is super very small like an electron or core of an atom or even smaller you need another theory which is called a quantum mechanics maybe you that you heard about this quantum mechanics it's a very strange world the world of little particles but the problem with the 2 theories is that they're not compatible you cannot have 1 theory that income to to and sometimes in 0 some situations and studying the galaxy you need to to know the 2 theories and a special situation in which you would need to 2 theories as the study of the the how they're of the Big Bang how everything started because when everything started everything was super small as we know it is a theory of course it was super superdense was a lot of the and energy and a lot of it was super heavy and for debt units the both and the last I think hold let's say the lost from the 19 seventies or 19 eighties physicist have been looking and looking for theories to combine the 2 and those efforts to do that is called and in quantum quantum gravity that's a whole view of the juridical physics and why is this so important for me because I was already interested before I was doing mathematics in this difficult problem and how can you connect and that's due to some entered in the commuters projects to the artist of what in the next phase I would like to learn as an analogy there is a very powerful objects in quantum gravity and that is a black hole so a black hole is at a points in their in space time as a quality which is infinitely heavy and which attracts everything that comes in its neighborhood and you can never get out it's a phrase special crazy world and that you have and a black hole there's a sort of and that's called the event horizon there a point of a region of no return around is a black hole and physicist don't do not know what happens inside this the event horizon data probably the world of physics the world is completely different and our world and in the next phase in commit us I'm looking to try to with mathematical models and computers multi inside of such a black hole get data out and make music with its does basically a little bits that parallel with the workings of the sun uh how they use their justification to
study the core I will just but uh now and let you hear a short
fragments because it's all maybe we're abstracts the how
it sounds if you're starting to make music with astrophysical data so 1st i'm gonna so this is a track where there's a lot of people information from our solar system the use of it so it's a it's a bit of time to do it in the end and I'm in it and that and the and thank you and you have at hand in and in the end the thank uh thank a it gives you a little pressure needed all the media how it's scales the Ch travel with sounds in space now the 2nd example that I will and show it is attracting mates using data coming from pools are stars samples of stars are very special kind of stars in our galaxy is and appeal of star is a sort of a light speaking you can compare it to a sort of a light beacon but it does not emit light but very very powerful the beams of energy at and the point is it stores like this these beams and if Earth is is here then you have connection no connection connection no connection connection and you get a sort of picking systems they were 1st discovered in the sixties so on and they spend very fast they can spend 2 over and over 800 times per 2nd and you have to know that these stars are super massive sodium much more much more mass than our sun so these are crazy crazy objects uh and have been using the data coming from those closer stars in the next stretch and that the nice thing is and this is from a pulsar the spoofer stars that are at the distance of 21 thousand light years from Earth so this means that the data has been used in this track is 21 thousand years old so this is maybe a track with 1 of the oldest samples I thinking and you can go even further in back in time because I'm a little bit obsessed with trying to go for an effort in further and of course you can go much more way back in time and that would mean that you Tuesday and uh background to radiation as it's called because if the universe starts to exist with the big bang there's a lot of noise still from that but the problem is this noise is not interesting it's just noise so not so I of course I added everything in my studio side the little predictions to you and Belgium uh it's it's a lot of work to equalize everything to compress it's to put some effects on it I'm also using all of its called resynthesis techniques Kerala synthesis I'm also because of that don't I tried to make it suggest that the tracks have a sort of an emotional impact although it has no written and it has no know it is normality but it's just sounds so these are the pulsar starts the this is 1 of the but this is another 1 of the 1st I just played around and to get rid of very only the history of 1 it and it at that stood up 1 . 2 1 thousand light years Earth that uh but that you and I get a and you hear it becomes a little bit metallic she does because I am using is called called filtering and it's a so it's kind of an all you filter which is a yeah comes from a certain synthesis techniques so uh now a rights then as so these are the 2 1st projects and now I'm going to try to put in a full-screen so it's like this yes OK that's that last predict armor I want to talk about and this is called crystal ball boat and now it's raining automatically that's not the in
so just so crystal ball is more of a pun you could see a politically engaged projects and the backgrounds between this project is as a mathematician my own and you could see Rome not frustration and it's training again how is it possible the
about the misuse it's on the misuse of mathematics in the financial industry so and you can also in large it's the misuse of mathematics and science science in our whole an illusion of technology not because we believe we are are we supposed to believe that technology is gonna save us all and gonna solve all our problems is gonna solve the environmental problems uh is gonna solve our problems with the financial markets to get everything under control is gonna solve our health problems in the future but I'm very septic about it because it also has a very it has a dark side and also as a mathematician if you look at the models for example that are being used in the financial industry they are very beautiful from a mathematical point if you or many of the theories but they don't do do not work why because the pre assume that we are all robots and they can perfectly predict how we behave and how a reactions are and the point is banks have an hour use those models and those philosophy to say you don't understand what's going on let us and we have a team of 100 engineers and that is due the mathematics and you'll be OK but if you look deeper in a lot of banks are using this strategy to cover up fraught with this massive fraud I stood at the prices the mathematics and what you learn is if you steal do not steal an apple steel 1 billion euros and you will get away with it you know that's that's started the whole thing as you can learn a lot so that's the background of the crystal ball projecting what
I'm doing with this crystal ball predicts is Ahmed using mathematical models from the financial world from Wall Street and I'm turning them into compositional instruments using techniques coming from a field which is called I already tackled it's and here
algorithm music composition so an algorithmic music composition used algorithms they can be put in a computer but they can also be algorithms that Rupert carts or other kind of stuff which uh and in bubble seen them in with the dice dice in English and to make music he up uh and I'm for inspired and is pretty by the work by the end of the 90's he's a Greek French composer you lived in the sixties he's written a book in 6 it's music will formalize music music from now and externalities is at the heart of all our digital media that we're using today so in this book in 68 he describes the whole system that we use in other leap and yeah for example or In and pro or in able to life so that but the markers was also famous because he was using mathematics to make music so
an extending his ideologies ideology and using the mathematics from financial industry this is to give you an idea of
our great big music composition this was already being used by this guy hopefully you know what is that this is His more that yes thank you and he was also using some sort of algorithmic techniques why because you've written so much music and sometimes he just he had no inspiration in we had to go further so he was using dies or other kind of things with got sort to and inspiration another famous
example and I'm showing this because this album was by update Berlin was very important for this album as you all know so this is low by David Bowie uh composed ends and it was issued in 74 this is a producer Brian Eno and some of you might know we still isn't working in the electric music scene and as a producer today and what is the story behind low so David Bowie had a lot of problems with the yellow of drug problems so he che he his idea was to come to Berlin to to get another perspective and and because his lifestyle and have a lot of inspiration and that's why bright you know he invented a sort of a system you can still find online as a sort of an hour and the music composition system with carts thank you can also make lyrics with it and the whole album No was composed in this manner that is a famous example
and for the crystal ball projects to other important figures from the so this is Janice inactive so you see his i is it was shattered by the Greek Civil War so here the shelf of grenades in eye and and yet also hearing problems because of that and this other person very important for other image music composition is John Cage not assume might maybe no OK
so this is just to give you an example a score of inactives from that in the fifties who is using also scientific methods to make music but you don't have a computer so you scientific paper and I
will just took before you give you an example of a track of the crystal ball project how it sounds and so on
can Hey for the and it and the it it the the with for it
and but of course it's it's my own I do stuff with this algorithms I like is rather dark but that's the whole crystal ball the theme is also a
rather dark so at MIT could somebody else would do all stuff with those organs and for those of you who might be interested to learn more
just this is a little publicity yes that is the workshop I'll be giving in Inet spectrum and the people from spectra were also talking here today but has go much
and it's a it's a workshop on right is so the divers use it using a chance a random is removed in the art of music so it's a workshop on on the techniques that I'm using in the crystal ball projects and it's mostly i it's all in open source software that the things are going be top so we're using it we're gonna use processing we're gonna use up your data so on if you're interested so there's also I have a
web sites and if you go to the website so that's my name the nuts uh there's a section workshops and there you find information if you would want to join the Workshop so it trends air from the 28th of many the workshop till the 2nd of june inspector and so spectrum art
science community here in Berlin so OK and I think here if somebody has questioned here we have some time
for some questions and no so the the yeah hello and thank you for this very interesting talk and I was just wondering and how you actually translated by the way that that the signals for instance you took from a deep space into sound did you apply because you you you you had that sample metaphor so did you for instance a sine wave for the use square wave 0 I know it gets maybe a little bit detail but that's the way uh and uh no it's here no and I I'm not so that the thing that you're you're talking is indeed you could say you could say the this simple thing to do is connect the data with a picture of a wave of sine wave or as a square wave uh but I'm using other techniques so what I mostly do is I have some more interesting synthesis algorithms and then I have like FM synthesis or granola and I have parameters mapped to those data streams what and in this way and you can develop your own language as a composer because I like events and is I like and a granular synthesis and I to transform those data streams into sounds and somebody else would do something completely different somebody else would maybe and then mapped do data to pitch of of a square wave of something else so it depends on the person but I yeah I'm I'm also very into nice pictures and electronic organic sounds and I am looking for ways to combine its fire streams controlling parameters of those sounds as how I do it now thank you the some money there and cry question is will the 2nd and the 3rd project do you have to use the music in any way and you shall case it in any way be something around here I mean with the 1st 1 you could see it's a performance but you how did you publish the 2nd and 3rd 1 I the
2nd and 3rd well um I I play concerts with that so what is more on uh festivals for Ehrlich experimental electronic music and and I wanna tend to do during this concert this for Jamaica made us projects and I tend to use light streams from satellites turn them into sounds and combined that's which detracts it there I'm using a basic technique of all the and transitions I have able to life we all it's I have some loops and I start to mix everything but I mix it also it's a personified life streams of astrophysical and data so now and those data those livestreams they come from sites from now as I'm using a lot of data from NASA and they publish it online
uh but now I'm I'm more looking to gets in even more peculiar information and because of the problem is with online data it's limited it has limitations and and I was also in contact with people from out to get more because they publish the data once per 1 thousand per minutes as a refresh rate but of course I want more data you know 1 time per minute so what I do in between the I use a technique called interpolation mathematical interpolation to stay up if it is there in 1 minute 1 and 2 in minutes at the and to probably it will go like this I started using more advanced techniques adding some noise to that so that it goes like this to make it more interesting but of course it would be nice to have also debated in between those minutes the problem is now as I cannot give its too private persons because of military reasons they're very yeah there because I could misuse its this to the Russians or what aware to North Korea and then they could see this use it for example how and but now I'm looking for organizations to that will allow me to have more more specific data so as to the 2nd projects at the crystal ball project there's also concerts a lot but the same format as an economy us and there and also planning to use the algorithms and on the device also life using tolerance but the the point this and that's also the experience that I have yet to be very careful using life data streams or algorithms because sometimes they can go very wild and then you have to turn down the reader and because it's programs in max pure data and that's the problem of those what it's it's it's a it's a property of those software packages don't the the
case other questions remark on and ideas yet yeah yes the by the you felt about like setting up your own in the better sources for a astronomical because the yes I know it is possible that not said no I haven't because I'm not I have I have no knowledge of then you have to know about still is uh as radio astronomy and stuff like that yes no happier it could I mean for that you have to collaborator of course another possibility what you can do is higher at time of on the telescope that's also possible that uh and I haven't exported user actions yet his in the and yet is 1 thing I've forgotten maybe also short shortly so I talked about the most and maybe you want also I will show you this short video fragments that you can get an idea how it looks and how it sounds so that this is a video fragment of a performance that we that's in Belgium and the Emerson did here is trying to make a sound track for 1 person for the Phantom of the Opera from Julian Rupert in from 1927 and he was
sent to has been during different kind of musical styles and this video fragments you will see the most is and programs to generate jazz music it's rather jazz music combines with electronics that is being played by the system so and all yes it's here this video so that each case the beginning your
so I'll show you 2 fragments the 1st in which the was is trying to make the person relaxed uh with the scene so it the opening scene of The Phantom of the Opera and as you probably know the story of the Phantom of the Opera at the ends the phantom is being chased by the people and they're also show fragment in which the Emerson this trying to make the person who was watching it stressed so and end
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so those those are just position so
not uh at the so now I will score lower because in the US 10 minutes I'm gonna
show you everything you can also check it on a website this video has also on web sites and limit check here so here it goes wrong for the phantom I and and I will
uh road room in the and and a and a lot of money to it and and the and and
and and and you you you you you you you you and you and I and the me all the way around
the a new and on and on and on and on
and on and on and the and
the other way around and around
and around a
a a a a c 2 screens with discourse sometimes coming into screen and we have to experimental those costs so as to make it work OK the so that if you have and I think distill questions or remarks we use the
and that he had about their Phantom of the Opera example here so the what's the scores generated by and then yes because the core is also out of rhythmically generated so it doesn't exist you know so you press and its it appears we have a lot of fun programming it's it it it was in the summer at the program that had programmers I want 1 programmer and then we could make thousands of songs you know where we list and sometimes something nice quit command so here and there is also a this is in connection of course with the game I think there's a an artist I think is from Berlin maybe Jonas the sky that he made fun out of it so what he did was like makes zillion of tracks using little samples of all that all your files on his computer and then he went to the game with maybe 60 thousand tylenol it's tracks and with all forms of all different samples that used and there's a whole video online aliases little then full of paper and then it goes to the game and analysis here this is the things that I want to declare and they have to him so now we we also had similar things when programming Emerson's the and that yeah
the so thank you so much Valerie but the speed engage in talk thank you I really hope you're tracks will make it on the Voyager disk when they listen to the grades the use of just as a little reminder in about 15 minutes we're about to start the music for Berlin community evening is really worth thinking about for the next panel on digital music infrastructures so see back in 15 minutes perhaps around
you are really my my friend
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Metadaten

Formale Metadaten

Titel How to make music from deepspace, wall street or biofeedback
Serientitel re:publica 2017
Autor Vermeulen, Valery
Lizenz CC-Namensnennung - Weitergabe unter gleichen Bedingungen 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen und das Werk bzw. diesen Inhalt auch in veränderter Form nur unter den Bedingungen dieser Lizenz weitergeben.
DOI 10.5446/33077
Herausgeber re:publica
Erscheinungsjahr 2017
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract Is it possible to translate the old Greek idea of having no distinction between art and science (maths in particular) into a contemporary musical context? How can one, as an electronic musician, integrate recent advances in theoretical physics such as the in quantum gravity, a critical approach towards our current Wall Street driven economy or new evolutions in artificial intelligence in his or her artistic practice? In this talk we will give a practical roadmap of how all this can be realized.

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