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Yes, same problem as with commercial AI music products not providing stems or MIDI, The engineers on these products are too full of themselves to actually ask a
by anigbrowl 2y ago
Yes, same problem as with commercial AI music products not providing stems or MIDI, The engineers on these products are too full of themselves to actually ask anyone in the field what they want, so we just keep getting these stupid magic 8 ball efforts.
This one is particularly annoying as I worked for years as a sound engineer and have recorded or produced the soundtrack for 10 feature films and some large number of shorts. What's going to happen with this is directors or producers are gonna do this at home for every scene in a burst of over-enthusiasm, realize the totality is Not Great, and then demand someone like me fix it, but for 1/4 of what the job used to pay, arguing 'but most of the work is already done'. It's all so tiresome.
- cageface 2y agoI’ve tried to explain this to several friends. Until these tools can generate output that can be mixed properly they’re going to be very niche.
- j16sdiz 2y agoThe sample they used for training are mixed. Unless they can have enough raw, unmixed sample, this depends on how well they "unmix" them.
- anigbrowl 2y agoYes...that's the problem. A problem that could be easily avoided by asking existing professionals what matters and what tools they actually want.
- jononor 2y agoMost ML engineers know that many want more fine grained control. But the straight forward way to train such models is incredibly data demanding. The datasets used for whole image generation consist of several billion images. I do not think anyone has compiled any DAW project / stems projects that are anywhere close to this size. So that is a limiting factor right now. But we will find ways to get there, probably a lot of progress over the next 5 years. Maybe even the next 2.
- Jensson 2y agoSame reason you don't see AI making images in layers etc, its just much easier to train an AI that generate everything in one layer. Training a model with the same level of quality output that generates multiple layers is much much harder, and of course companies and users prefers the higher quality over having layers, especially since the quality you get with a single layer is still barely passable.
- knowaveragejoe 2y agoIt sounds like between the two of you(and the person who mentioned generating images in layers for image editing software), you've stumbled upon an obvious gap in the market.