The usefulness of higher order derivatives (on small time series)

[rodrigo.constanzo]

@weefuzzy

Second derivative is often useful, but word of caution: approximate derivatives like this are sensitive to noise in the signal and will get ‘worse’ (noise-wise) for each higher order derivative (and therefore less useful). Also, with the exeedinfly short signals you’re using, I’m dubious about how meaningful they’ll be (because we’re down to a single sample)

Indeed. That’s why I want to do some testing to see if the improved results I was getting were because of higher MFCC counts or higher derivs (or both).

It’s a bit faffy to manually do that, but thankfully I have a test/script that I can run these things through and get a number back as to how accurate it was.

Depending on the results, I may revisit your comments/thoughts about using raw melband representations, now that I can assess things in a more scientific manner.