Here’s a question for you guys who are savvy in this business of generative music.

I am trying to categorise systems into three boxes: 

black (you put stuff in and get stuff out),
grey (you need to design the processes a bit and then put some particular data in and get outputs),
white (you need to design the process and the data going in etc)

So now, would this be correct?

Black: Magenta Studio, MusicVAE; MuseNet, Jukebox;

Grey: Common Music/Grace; ?

White: Csound, SuperCollider, Pd, Web Audio, etc

Thanks
========================
Prof. Victor Lazzarini
Maynooth University
Ireland


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Anything really: words, scores, audio, images, etc
and get something musical out in the usual forms (audio, MIDI, score)
========================
Prof. Victor Lazzarini
Maynooth University
Ireland

> On 11 Jan 2024, at 12:38, luis jure  wrote:
> 
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> Since I never ever heard of any of the systems in the black box, could anyone please explain me briefly what is the nature of the "stuff" you put in and what kind of "stuff" you get out? 
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*Warning*

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Interesting question. Perhaps all the systems will be categorized as varying degrees of gray... ;-) 

But your initial outline seems ok.

Then it depends perhaps just as much on what kind user you are (?). If one uses instruments that other people have written in Csound, it is perhaps similar (in terms of "gray-ness") to using Common Music? and then if one uses Common Music to design one's own routines, it is just as "transparent/white" as Csound and the others in that category.

best

Øyvind

tor. 11. jan. 2024 kl. 11:46 skrev Victor Lazzarini <Victor.Lazzarini@mu.ie>:

Here’s a question for you guys who are savvy in this business of generative music.

I am trying to categorise systems into three boxes:

black (you put stuff in and get stuff out),
grey (you need to design the processes a bit and then put some particular data in and get outputs),
white (you need to design the process and the data going in etc)

So now, would this be correct?

Black: Magenta Studio, MusicVAE; MuseNet, Jukebox;

Grey: Common Music/Grace; ?

White: Csound, SuperCollider, Pd, Web Audio, etc

Thanks
========================
Prof. Victor Lazzarini
Maynooth University
Ireland


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Csound mailing list Csound@listserv.heanet.ie https://listserv.heanet.ie/cgi-bin/wa?A0=CSOUND Send bugs reports to https://github.com/csound/csound/issues Discussions of bugs and features can be posted here

On 2024-01-11 11:57, Victor Lazzarini wrote:
> Anything really: words, scores, audio, images, etc
> and get something musical out in the usual forms (audio, MIDI, score)
I see. So they would be generative AI systems, right?
I'm interested in generative music myself, but I'm not at all "savvy".
I'm interested actually in procedural music. I wrote some simple Python 
functions to generate or process musical elements (like lines, chords, 
sequences of pitches, intervals or durations, etc.) , and I use music21 
functions to convert that into MusicXML and/or MIDI data.
I haven't done anything with Csound or "computer music", though, I'm 
more interested in instrumental music right now.
My approach is very basic, but I used these functions extensively in my 
latest orchestral piece, premiered a month ago.
It's a very short piece (six minutes), here's the recording, in case 
anyone is interested:

https://we.tl/t-8ruI23K5hN

One caveat: the score includes a tuba part, but the tuba player didn't 
show up for the concert... As you can imagine, this spoiled the effect 
of a couple of passages. Other than that, the performance is pretty 
decent for an orchestra with the level of an European small town orchestra.


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