[PD] iem filters - best for isolating frequencies?

[Kyle Klipowicz]

Paris~

I really would recommend the "learn" method, it creates a fft-based
profile (I think using a neural net, correct me someone if I'm
mistaken) of the sounds through a training routine of a suggested 10
occurrences.

I have not played with this feature too much myself, but imagine that
if it works even halfway decent, it could do much to better your
applications.  Please keep the list updated on your success/failure
with this feature.

~Kyle

On 9/1/06, Paris Treantafeles <paris at parisgraphics.com> wrote:
> Hi Kyle,
>
> Thanks - I should have mentioned that I use bonk~ in some patches as
> well.
> I've had better luck with it though when there's not too many
> different simultaneous frequencies going on.
> That's what got me filtering the input first- but I will take another
> look at it, maybe i just didn't use it's full possibilities.
>
> -p
>
> On Sep 1, 2006, at 3:41 PM, Kyle Klipowicz wrote:
>
> > Instead of filters, try using bonk~, which you can train tto
> > differentiate various attacks and label them accordingly in its
> > output.
> >
> > ~Kyle
> >
> > On 9/1/06, Paris Treantafeles <paris at parisgraphics.com> wrote:
> >> Hello List,
> >>
> >> I have some Gem patches that react to incoming sound in various ways.
> >> Up until now, I would take the adc~ input and use 3 vcf~ 's  (one for
> >> bass, mid and high) and with the right settings of Hz and Q, I was
> >> getting fairly good envelopes.
> >> Looking at this again and wanting to improve it, I have been
> >> experimenting with iemlib filters:
> >> http://pd.iem.at/iemlib/abstract.html
> >>
> >> I was wondering if anyone can recommend which of these would be best
> >> for trying to isolate, say a bass drum or a hi hat from an
> >> incoming mix?
> >>
> >> I read the Bessel filters are often used in cross overs but from just
> >> experimenting a bit it seems some of the others (e.g. vcf_lp2~) are
> >> giving me a better response.
> >>
> >> Thanks,
> >> p
> >>
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