I don’t know if this is the right place to ask, but I couldn’t find anything about online.

Is there any research currently being conducted on getting a synthesizer preset parameters from an audio sample? If not, would you think that It would be too difficult to create something like this?

There’s plenty of data to train on for this kind of application. Splice for example, has thousands of such presets, and the audio sample wouldn’t be too difficult to obtain once download the preset and load it into some synth and export the resulting audio sample.

What kind type of neural network would be best used for this?