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There is a long tradition of using AI and AI-ish techniques to try to generate FM synthesis patches, for example [1] genetic algorithms (1993) to [2] neural net
by raphlinus 6y ago
There is a long tradition of using AI and AI-ish techniques to try to generate FM synthesis patches, for example [1] genetic algorithms (1993) to [2] neural networks (2017). See the "previous work" section in the latter paper for more references.
Disclosure: I wrote the original sound engine in Dexed. I love seeing stuff like this!
[1]: https://www.jstor.org/stable/3680541?seq=1 https://www.jstor.org/stable/3680541?seq=1
[2]: http://research.gold.ac.uk/22516/1/myk_lf_vsti_programming.pdf http://research.gold.ac.uk/22516/1/myk_lf_vsti_programming.p...
- leonfedden 6y agoHey dexed is awesome! I was the coauthor for [2], it for was my 3rd year undergraduate dissertation. A lot of the work went into creating a Python VST host capable of generating huge datasets of random patches. I'm looking at some of the fancy new ML tricks that have come out since that paper was wrote and have been thinking there would be significant improvements over the LSTM we used.
- raphlinus 6y agoNice! I imagine with the advances in ML it would be possible to do really impressive things. I hope you or someone else takes this up. Also, this is really a reason to love Hacker News. Sometimes I question why I spend so much time here, this is not one of those times :)