[crtasm]

That's not AI generated at all. Using acoustic models to stem out individual sections from a recording is not creating new material (and I wouldn't even describe that as "AI" despite what I'm sure a lot of the tools offering it want us to believe).

[tensor]

Sorry, that's AI. So is OCR, so is voice recognition, and many other things you probably use and take for granted. I'd suggest you focus on use cases not trying to redefine definitions for an entire area of science and technology based on your own preferences.

Saying "I'm against fully AI generated music" is at least precise, and doesn't throw out detecting cancer along with the AI bandwagon term.

[promiseofbeans]

Not AI generated. The ML model isn’t coming up with anything novel^, it’s just converting from one format to another, or extracting data - similar to automatically cropping photos to faces.

It’s still AI, but it’s not the AI system generating something

[skramzy]

> Sorry, that's AI. So is OCR, so is voice recognition, and many other things you probably use and take for granted

Have you heard of machine learning?

[raincole]

The current genAI trend is machine learning too so what's the point of this question?

[pastel8739]

I think the point is that to most people, “AI” has a different meaning than “machine learning”

[gamblor956]

AI and voice recognition were using "machine learning" for several decades, which is basically just brute force statistics.

ML voice recognition is still far superior to AI-based voice recognition. At its best, Gemini is still less accurate at parsing speech than Dragon Naturally Speaking circa 2000.

[chrisjj]

> that's AI.

Not if you agree with dictionaries and Wikipedia:

Artificial intelligence (AI) is the capability of computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making.