[chuck-users] Neural Nets in ChucK

[mike clemow]

There seem to be a bunch of bad links on that page.  I can't download
the PDF file, for instance.  Hrm...

-Mike

On Mon, May 26, 2008 at 2:13 PM,  <Inventor-66 at comcast.net> wrote:
> Hi Kassen,
>
> I read about it in this previous message from this mailing list, see item 2.  Maybe I'm confused.  I'm easily amused and easily confused!  Haha!
>
> Les
>
>
>
> Hi Nuno,
>
> This would be a great application for our new SMIRK toolkit (small
> music information retrieval toolkit for MIR in ChucK), soon to be up
> at http://smirk.cs.princeton.edu.
>
> This is a great example of a problem that could be easily solved with
> a machine learning algorithm, wherein you
> 1) Extract features from a training set of animal sounds
> 2) Use them to train a classifier (now available in chuck: kNN,
> adaboost)
> 3) extract features from the mic input
> 4) use the trained classifier to classify the new inputs
>
> You could start with playing with FFT, centroid, RMS, rolloff, and
> other standard features, then use whatever features end up capturing
> your idea of similarity the best.
>
> I'll send a notice to this list once everything is totally up.
>
> Cheers,
> Rebecca
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>



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