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I think the interesting part would be example based audio synthesis. Could you replace a synthesizer with a neural network which, when fed examples, would allow
by jeeceebees 9y ago
I think the interesting part would be example based audio synthesis. Could you replace a synthesizer with a neural network which, when fed examples, would allow you to generate sounds / explore some latent space between the examples.
For example an approach similar to https://gauthamzz.github.io/2017/09/23/AudioStyleTransfer/ https://gauthamzz.github.io/2017/09/23/AudioStyleTransfer/ but then using the methods described in the PixelNN paper.
- radarsat1 9y agoI'll just plug my recent work on my sound synthesis "copier": http://gitlab.com/sinclairs/sounderfeit http://gitlab.com/sinclairs/sounderfeit It more or less attempts to be what you describe. Not very polished yet, but I had some basic success in modeling the parameter space of a synth, and adding new latent spaces with regularization.