[ml] Tonight

Steve Tjoa stjoa at izotope.com
Mon Mar 19 16:33:14 PDT 2012


Hello Gershon, others,

Lurker here. That happens to be my code and Stack Overflow answer that you
linked to!

Regarding concerns in this email thread:

1. Despite that "Python in Music" page, the lack of basic, simple
audio/music processing libraries in Python has motivated my friend Jeremy
to begin a Github repo for that very purpose named PyMIR: (
http://jsawruk.com/?p=141). Feel free to use or contribute.

2. In there, you will find an MP3 importer that Jeremy wrote.

3. I have custom-brewed stuff for audio feature extraction operations,
including MFCCs. I also have sparse coding and NMF stuff.  If there are
specific requests that I can fulfill, I will add them to the repo.

Please feel free to ask if you have any questions.

Steve
http://stevetjoa.com


On Sun, Mar 18, 2012 at 10:59 PM, gershon bialer
<gershon.bialer at gmail.com>wrote:

> Yeah, thursday would be cool.
>
> Friture looks interesting, I'll have to see I found some code at
> http://stackoverflow.com/questions/2459295/stft-and-istft-in-python
> for doing the spectogram. I couldn't find a good library for importing
> mp3's into python. Although, I suppose we can work with wav files for
> now.
>
> On Sun, Mar 18, 2012 at 10:50 PM, Mike Schachter
> <mschachter at eigenminds.com> wrote:
> > Hey Gershon,
> >
> > Do you want to meet up this Thursday and talk about
> > time-frequency representations for sound? I'm looking
> > at various packages in python. One that struck my eye
> > was a real-time spectrogram package:
> >
> > http://tlecomte.github.com/friture/
> >
> > Anyone else interested in this kind of stuff too? I could
> > put something on the calendar and make an official-like
> > announcement.
> >
> >  mike
> >
> > On Thu, Mar 15, 2012 at 12:00 PM, Mike Schachter
> > <mschachter at eigenminds.com> wrote:
> >> That's awesome Gershon!
> >>
> >> I can't come out tonight, but how about we meet
> >> up next Thursday and have a discussion about using
> >> deep nets for sound feature extraction? Spectrograms
> >> are also be invertible feature representation, as long
> >> as you use the overlapping windows for the FFT.
> >>
> >>  mike
> >>
> >>
> >>
> >> On Thu, Mar 15, 2012 at 11:42 AM, gershon bialer
> >> <gershon.bialer at gmail.com> wrote:
> >>> Hi,
> >>>
> >>> Do you want to meet again tonight?
> >>>
> >>> I played a bit with trying to build a generative model for creating
> >>> music like we were talking about. I also read the papers and looked at
> >>> the tutorial on deep learning.
> >>>
> >>> I think the first step is to find an invertible, sparse, feature,
> >>> representation. I think this would be MFCC or some sort of linear
> >>> predictive coding. I suppose you could then apply some of the deep
> >>> learning stuff to it for a generative model. Any thoughts?
> >>> --
> >>> ---------------------
> >>> Gershon Bialer
> >>> _______________________________________________
> >>> ml mailing list
> >>> ml at lists.noisebridge.net
> >>> https://www.noisebridge.net/mailman/listinfo/ml
>
>
>
> --
> ---------------------
> Gershon Bialer
> _______________________________________________
> ml mailing list
> ml at lists.noisebridge.net
> https://www.noisebridge.net/mailman/listinfo/ml
>
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