Intelligent Feature Selection (with SVM or PCA)

It also occurred to me that this will be super useful for determining which of the more abstract descriptors are useful in these contexts. It’s semi-intuitive that loudness and MFCC13 may be have a lot of “predictive power”, but when it gets to the standard deviation of the 2nd derivative of MFCC4, it gets a lot less sensible. And most of the testing I’ve done so far as been mashing together different combinations of these vectors to see what kind of worked with no rhyme or reason as to which I chose.

1 Like