| ▲ | duped 11 hours ago | |||||||||||||
Are you making this up? What spectral analysis libraries or tools? String instruments create similar harmonic series to horns, winds, and voice (because everything is a string in some dimension) and the major differences are in the spectral envelope, something that STFT tools are just ok at approximating because of the time/frequency tradeoff (aka: the uncertainty principle). This is a very hard problem "in theory" to me, and I'm just above casually versed in it. | ||||||||||||||
| ▲ | 613style 11 hours ago | parent | next [-] | |||||||||||||
He's not making it up and there's no reason for that tone. Strings are more straightforward to isolate compared to vocals/horns/etc because they produce a near-perfect harmonic series in parallel lines in a spectrogram. The time/frequency tradeoff exists, but it's less of a problem for strings because of their slow attack. You can look up HPSS and python libraries like Essentia and Librosa. | ||||||||||||||
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| ▲ | jb1991 9 hours ago | parent | prev | next [-] | |||||||||||||
If you look at the actual harmonics of a string and of horn, you will see how wrong you are. There is a reason why they sound different to the ear. It’s because of this that you can have a relatively inexpensive synthesizer (not sample or PCM based) that does a crude job of mimicking these different instruments by just changing the harmonics. | ||||||||||||||
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| ▲ | dleeftink 11 hours ago | parent | prev [-] | |||||||||||||
I might misremember, but iZotope RX and Melodyne were pretty useful in this regard. | ||||||||||||||