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by jay-anderson
3321 days ago
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Synthesized musical instruments never sound quite right (the best I've heard are the vienna symphonic library:
https://www.vsl.co.at/en). While that doesn't appear to be the goal of this specific work, some of the wavenet approaches seem like they could be used towards that end. Even if this requires rendering the audio for an instrument slower than real time it would be a nice achievement if it can improve the quality. (Studio musician jobs I think are safe for quite a while still.) |
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This is really a kind of morphing. You can capture examples of each kind of sound with sampling, but you can't capture the performance morphing. Even if you could, there's no good way to perform the morphing with a typical synth keyboard, which only allows for velocity and maybe aftertouch - possibly poly AT for a handful of models.
So these huge sample sets have started using rule-based systems to try to add the morphing, or at least to make sample choices, in a context-sensitive way. This kind of works, up to a point, but it's not as good as the real thing.
As a side effect, sampling has driven jobbing composers, especially in Hollywood, towards an industry standard mechanical and repetitive orchestral sound.
It sounds orchestra-like, but it's a narrow and compressed version of all the colours an orchestra is capable of. If you compare it to the work of master orchestrators - Ravel, Stravinsky, Puccini - it's not hard hear just how flat and colourless these scores are.
A good ML model of an orchestral instrument would be a very useful thing, because it would make it possible to think about breaking out of the sampling box. But there aren't enough people with enough of a background in both ML and music to make this likely.
Sadly, I think it's more likely we'll get even more compressed and narrow representations, with even more of the subtlety and expressive range removed.