ddsp VS pedalboard

You can actually use thousands of oscillators, which is what Magenta did with their differentiable DSP (DDSP) approach to modeling acoustic instruments including singing:

https://magenta.tensorflow.org/ddsp-vst

https://magenta.tensorflow.org/ddsp

I doesn't sound realistic but it is expressive in an unusual way.

Have you checked out DDSP from magenta? I’m not sure what kind of learning you are trying to implement but they provide a lot of standard signal processing components that are differentiable so you can use them as part of a neural net. There are a handful of collabs that serve as interactive tutorials and the documentation is not bad, I did my bachelors thesis on the topic so I got quite stuck into this for a while

In case you're asking about the parent comment (s/Differential/Differentiable), it means the title should be "differentiable CV" (instead of "differential CV").

"Differentiable" describes some computation for which derivatives can be computed. "Differential" is a more general term which means that something has to do with differences, e.g. differential equations deal with equations that specify how things change together.

With the recent surge in deep learning came significant improvements in optimization techniques and hardware, making it feasible to formulate some computations in a differentiable manner. Doing that allows one to optimize the computation process relatively efficiently, at least in theory. Some other examples: differentiable programming[0] (other differentiable techniques are a subset of this), differentiable rendering[1], differentiable signal processing[2].

[0] https://en.wikipedia.org/wiki/Differentiable_programming

[1] https://arxiv.org/abs/2006.12057

[2] https://github.com/magenta/ddsp

spotify/pedalboard: audio effects for Python and TensorFlow

pip install git+https://github.com/spotify/pedalboard.git

I haven't tried it yet, but pedalboard is probably your best bet. DawDreamer also looks interesting ...

I found this really cool and promising library called "Pedalboard" but when I try to install it using PIP I get this error message:

Perhaps Spotify Pedalboard might be of interest

pedalboard – A Python library for manipulating audio

Thanks for the suggestions, everybody! I'm going to try writing a python script using this library: https://github.com/spotify/pedalboard to loop through all files in my sample directory and save the processed outputs to a new folder. Hoping it doesn't melt my poor 2018 Macbook Pro - I'll try running it on a smaller folder at first and see how it goes.

Do you want to run the effect online or offline? You can do it offline with: https://github.com/spotify/pedalboard

I think you could do it with this https://github.com/spotify/pedalboard