Been reading some papers this evening and thought I would note the papers which stood out to me as interesting.
This paper was interesting. I think the general vibe that I can sense is that GANs are super cool and have been used liberally for generative image stuff that is actually aesthetically fascinating. The tools are there for such creatives (evidenced by things like runwayML and several colab notebooks allowing you train on GPUs for free) while sound has lagged behind, with a few esoteric implementations out there. sampleRNN and DDSP are by far the most accessible (I know @danieleghisi worked with it in a piece, and WaveNet is cool but i’ve never managed to get it to work ever.
To me it seemed liked the authors have their fingers on the pulse about what people might actually want to do with this tech toward creative ends. The code they refer to is open and maintained, and the code they contribute on top of this (some addendum helper scripts) are super useful. I think that in best case scenario we might see some cool interactive stuff for generative audio synthesis. I for one would be fascinated to start training my own models on my esoteric samples, and entirely forego the notion of pitch being important in my deep learning model Definitely going to try out some of their code.
This was a really nice paper. The style is super clear and its nice to see the perspective of someone creating music and using tools from our shared research community talking about how they fit into their compositional aims and aesthetic interests. In particular, section 3.0 was a nice way into thinking about the dialogues that emerge between what we want, and how we can get it from technology and its interactions with material.
I liked this paper simply because I learned about a practice and piece I hadn’t come across before Also, the post-facto process of digging into the work and unpicking at with machine listening was a bit like how I think I think I compose @tremblap would appreciate the meta going on there…
Thanks for reminding me about these @spluta !