[PD] iem filters - best for isolating frequencies?

[Kyle Klipowicz]

I don't think that bonk~ has the capacity to do this.  It's a
difficult trick that would require some really keen AI and training.
This topic was recently on the .microsound list, due to this article:

http://www.techweb.com/wire/security/192300009

Pretty neat, and scary too, depending on who uses the technology and why.

~Kyle

On 9/2/06, B. Bogart <ben at ekran.org> wrote:
> Hey all,
>
> Could [bonk~] be used to recognize human voice? (rather than music)
>
> Seems to me there is not really any effective way to extract voice from
> music... Has anyone tried this?
>
> .b.
>
>
> Kyle Klipowicz wrote:
> > 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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> >> >>
> >> >
> >> >
> >> > --
> >> >
> >> > http://theradioproject.com
> >> > http://perhapsidid.blogspot.com
> >> >
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> >
> >
>
>


-- 

http://theradioproject.com
http://perhapsidid.blogspot.com

(((())))(()()((((((((()())))()(((((((())()()())())))
(())))))(()))))))))))))(((((((((((()()))))))))((())))
))(((((((((((())))())))))))))))))))__________
_____())))))(((((((((((((()))))))))))_______
((((((())))))))))))((((((((000)))oOOOOOO