gershon.bialer at gmail.com
Sun Mar 18 22:59:32 PDT 2012
Yeah, thursday would be cool.
Friture looks interesting, I'll have to see I found some code at
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
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:
> Anyone else interested in this kind of stuff too? I could
> put something on the calendar and make an official-like
> 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.
>> On Thu, Mar 15, 2012 at 11:42 AM, gershon bialer
>> <gershon.bialer at gmail.com> wrote:
>>> 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
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