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Audacity adds AI audio editing capabilities thanks to free Intel OpenVINO plugins (www.notebookcheck.net)

submitted 9 months ago by [email protected] to c/[email protected]

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[–] [email protected] 58 points 9 months ago* (last edited 9 months ago) (24 children)

[Edit: indeed, its actually good that it's 2gb]

2gb plugin??!

Btw, does it work with tenacity?

[–] [email protected] 64 points 9 months ago (14 children)

AI models are often multiple gigabytes, tbh it's a good sign that it's not "AI" marketing bullshit (less of a risk with open source projects anyway). I'm pretty wary of "AI" audio software that's only a few megabytes.

[–] [email protected] 1 points 9 months ago (12 children)

Why are they that big? Is it more than code? How could you get to gigabytes of code?

[–] [email protected] 10 points 9 months ago* (last edited 9 months ago) (1 children)

It's basically a huge graph/flowchart.

[+] [email protected] -6 points 9 months ago (1 children)

It's really nothing of the sort.

[–] [email protected] 12 points 9 months ago (1 children)

Specifying weights, biases and shape definitely makes a graph.
IMO having a lot of more preferred and more deprecated routes is quite close to a flowchart except there's a lot more routes. The principles of how these work is quite similar.

[–] [email protected] -1 points 9 months ago (1 children)

There are graph neural networks (meaning NNs that work on graphs), but I don't think that's what is used here.
I do not understand what you mean by "routes". I suspect that you have misunderstood something fundamental.

[–] [email protected] 3 points 9 months ago (1 children)

I'm not talking about that. What's weights, biases and shape if not a graph?
By routes, I mean that the path of the graph doesn't necessarily converge and that it is often more tree-like.

[–] [email protected] 3 points 9 months ago* (last edited 9 months ago) (1 children)

You can see a neural net as a graph in that the neurons are connected nodes. I don't believe that graph theory is very helpful, though. The weights are parameters in a system of linear equations; the numbers in a matrix/tensor. That's not how the term is used in graph theory, AFAIK.

ETA: What you say about "routes" (=paths?) is something that I can only make sense of, if I assume that you misunderstood something. Else, I simply don't know what that is talking about.

[–] [email protected] 2 points 9 months ago (1 children)

If you look at the nodes which are most likely to trigger from given inputs then you can draw paths

[–] [email protected] 2 points 9 months ago

I still don't know what this is supposed to mean for neural nets. I think it reflects a misunderstanding.

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