Most machine learning technologies for music are like telling an music theorist to design a circuit board. the results are hilarious. you need a synth architect.

There is a Wikipedia about the timeline or chronology And the milestones if you look up those words you ll find stuff... Wikipedia gives a very long list of all the major challenges achievements that have been achieved since the 1990 S

If you look for the training data set quality and filtering that's another word for usefulness.

It's about money and control of new markets, it's about corporations wanting to find new revenue streams.

USA company with 75 billion funds to play catch up with an Asian tiger company... erm... bring skynet already. I want my AI mucus basket brain plug tubes ASAP.

I designed synthesisers for about 10 years so I lot about audio analysis And digital signal processing and I spent a few years thinking about the topic you are enquiring about so Have a shitload of technology on that subject but it's worth a lot of money and I'm probably gonna wait until I have enough money to employ 10 developers to do something commercial with it.

Its not about models its about analysis technology. Ive got the latter.

You will probably be having trouble working with Audio if you don't know The basic things like analogue and Digital

12 is 8.333% bigger images n data, slower.