[PD] iem filters - best for isolating frequencies?

[Paris Treantafeles]

Hi Ben,

I have tried but not had much success.
The other way around (cutting the voice out of a mix) is much easier.
If anyone wants to share some bonk~ examples that would be cool :-)

-p

On Sep 2, 2006, at 1:03 PM, B. Bogart 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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>>>>
>>>>
>>>> --
>>>>
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>>>> http://perhapsidid.blogspot.com
>>>>
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