Re: [microsound] soundDesign in max/msp

[Michal Seta <mis@xxxxxxxxxxxx>]

Excuse me...

Gotta correct this:

Mr Pietrusko is addressing his wise comments to me but he's quoting someone
else...

I did not say those words.

../MiS



on 7/27/01 9:20 AM, Robert Pietrusko at bobby@xxxxxxxxxxx wrote:

> Hi Michal,
> 
>> isn't max/msp supposed to be able to do *anything*, soundwise?
>> please excuse my unintelligence, but from what i understand:
>> 1. sound is made up of sine waves.
>> 2. max can produce and alter sound waves in any way.
> 
> This is sort of a simplified explanation to me.  it is a bit like saying
> since we can represent any naturally occurring sound with 1s and 0s
> (by sampling),
> then it is possible to generate any naturally occurring sound by
> synthetic means since it is just figuring out which process results
> in that orientation of 1s and 0s.
> In theory both cases are true but implementation never works out that way.
> 
> Different interfaces result in different compositions and sound
> design.  I've found that
> the music one writes in Csound is different than the music one writes
> with Max, Supercollider,
> Tape, what have you.   Therefore I think  it is very possible for
> someone's piece to sound Max-ish.
> 
>> 2 and 3 are with respect to:
>> a. synthesis of the human voice
> 
> as far as I can tell Max is not the *best* place to do this.   you
> are looking for an environment
> to deal with mathematical vocal-tract models,  Linear
> PredictiveCoding (old school), or FOF.  as far as I can tell MSP
> would not be the best place to do this.
> 
>> c. synthesis of non-electronic instruments
> 
> the Karplus-Strong string algorithm should be very simple since it is
> just a delay line
> and a filter.
> 
> I would suggest looking into wave guides, which model many
> instruments with delays and feedback.  however, some of the more
> complicated ones will be difficult to realize in a graphic language
> such as MSP.
> 
>> (i.e. Are there any existing "learning" algorithms that accept input
>> much like the adaptive filters in digital cellphones?)
> 
> I'm not sure if I understand you correctly.  But I'll try to answer.
> Classification of  tones by pattern recognition is actually rather difficult.
> That said,  I'm thinking that the question you are asking is whether
> or not a pattern
> classifier can take in a signal in the time (or frequency domain)
> then construct a model
> of components that would recreate the sound.  That would be very
> difficult at this point,
> yet it would be very beneficial,  it is a goal of many researchers,
> though not necessarily related
> to musical problems.
> I have done some research using recursive PDP algorithms to represent
> music data
> types (in the time domain)  implicitly (as opposed to explicitly
> where every byte is stored),
> as a form of data reduction.  it can reconstruct the original sound
> files with a minmal amount of input data Sort of like associating
> someone's name with all of the variables that make up the pattern of
> their face.  Not sure if this is interesting or not,  but I hope I've
> answered some of your questions, at least in part.
> 
> take care,
> 
> -Bobby.
> 
> 
> _one thought : many forms_
> 
> ----------------------------------------------------------
> http://www.cSounds.com
> ----------------------------------------------------------
> 
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: microsound-unsubscribe@xxxxxxxxxxxxx
> For additional commands, e-mail: microsound-help@xxxxxxxxxxxxx
> website: http://www.microsound.org
> 
>