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Yeah, that's the way. Once you run out of training data, you can probably also do self learning by transcribing music without available sheet music, transforming the generated notation into sound through a synthesizer, compare the results (this needs another model) and then try again. Once you run out of music, you can continue with synthetic data (since current models can already make fresh sound files of high enough quality).
The devil is in the details, of course, e.g. current software transcription aids work much better for solo piano than for any other instruments (there not many different ways to modify the sound of a note on a piano). Guitars, on the other hand, are notoriously hard to transcribe. They kind of make up for it by having tabs available for a million songs, so at least there's a lot of training data. But the relationship between tabs and final sound is much less straight forward than for piano.
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