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We think of these models as being ways to extend artistic expression... like guitar pedal or cameras or drum machines. Perhaps ML will give rise to something ne
by dougeck 9y ago
We think of these models as being ways to extend artistic expression... like guitar pedal or cameras or drum machines. Perhaps ML will give rise to something new and aesthetically interesting in this direction.
- pawy 9y agoYou are building a "smarter" arpegiator. If you really want to build a tool used by producers then it would be required to be a VST in the first place. But then I really doubt (as an amateur composer) than any artist could get anywhere with this. How can I transmit my feelings trough a bunch of data i've no control over ?
- kastnerkyle 9y agoYou mean something like this? [0] As far as I know from the mailing list, they are always working on more tools for integration so musicians can use them in different environments and different ways. As an amateur composer as well, I have found uses for these types of models even without plugins / with "data I have no control over" for small flashes of interesting motifs/progressions that I rework, modify, and expand on my own. Inspiration comes in many forms. [0] https://github.com/tensorflow/magenta-demos/tree/master/ai-jam-ableton https://github.com/tensorflow/magenta-demos/tree/master/ai-j...
- pawy 9y agoDepending on the usage you make, there are some cool applications. But then as you said you rework the material anyway to create your own thing. At best it can inspire. edit : thus the title should have been "rearranging sound with machine learning" ; it's not music nor art.