Hello Gershon, others,<br><br><div>Lurker here. That happens to be my code and Stack Overflow answer that you linked to! </div><div><br></div><div>Regarding concerns in this email thread:</div><div><br></div><div>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: (<a href="http://jsawruk.com/?p=141">http://jsawruk.com/?p=141</a>). Feel free to use or contribute.</div>
<div><br></div><div>2. In there, you will find an MP3 importer that Jeremy wrote.</div><div><br></div><div>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.</div>
<div><br></div><div>Please feel free to ask if you have any questions.</div><div><br></div><div>Steve</div><div><a href="http://stevetjoa.com">http://stevetjoa.com</a></div><div><br></div><div><br><div class="gmail_quote">
On Sun, Mar 18, 2012 at 10:59 PM, gershon bialer <span dir="ltr"><<a href="mailto:gershon.bialer@gmail.com">gershon.bialer@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Yeah, thursday would be cool.<br>
<br>
Friture looks interesting, I'll have to see I found some code at<br>
<a href="http://stackoverflow.com/questions/2459295/stft-and-istft-in-python" target="_blank">http://stackoverflow.com/questions/2459295/stft-and-istft-in-python</a><br>
for doing the spectogram. I couldn't find a good library for importing<br>
mp3's into python. Although, I suppose we can work with wav files for<br>
now.<br>
<br>
On Sun, Mar 18, 2012 at 10:50 PM, Mike Schachter<br>
<<a href="mailto:mschachter@eigenminds.com">mschachter@eigenminds.com</a>> wrote:<br>
> Hey Gershon,<br>
><br>
> Do you want to meet up this Thursday and talk about<br>
> time-frequency representations for sound? I'm looking<br>
> at various packages in python. One that struck my eye<br>
> was a real-time spectrogram package:<br>
><br>
> <a href="http://tlecomte.github.com/friture/" target="_blank">http://tlecomte.github.com/friture/</a><br>
><br>
> Anyone else interested in this kind of stuff too? I could<br>
> put something on the calendar and make an official-like<br>
> announcement.<br>
><br>
> mike<br>
><br>
> On Thu, Mar 15, 2012 at 12:00 PM, Mike Schachter<br>
> <<a href="mailto:mschachter@eigenminds.com">mschachter@eigenminds.com</a>> wrote:<br>
>> That's awesome Gershon!<br>
>><br>
>> I can't come out tonight, but how about we meet<br>
>> up next Thursday and have a discussion about using<br>
>> deep nets for sound feature extraction? Spectrograms<br>
>> are also be invertible feature representation, as long<br>
>> as you use the overlapping windows for the FFT.<br>
>><br>
>> mike<br>
>><br>
>><br>
>><br>
>> On Thu, Mar 15, 2012 at 11:42 AM, gershon bialer<br>
>> <<a href="mailto:gershon.bialer@gmail.com">gershon.bialer@gmail.com</a>> wrote:<br>
>>> Hi,<br>
>>><br>
>>> Do you want to meet again tonight?<br>
>>><br>
>>> I played a bit with trying to build a generative model for creating<br>
>>> music like we were talking about. I also read the papers and looked at<br>
>>> the tutorial on deep learning.<br>
>>><br>
>>> I think the first step is to find an invertible, sparse, feature,<br>
>>> representation. I think this would be MFCC or some sort of linear<br>
>>> predictive coding. I suppose you could then apply some of the deep<br>
>>> learning stuff to it for a generative model. Any thoughts?<br>
<span class="HOEnZb"><font color="#888888">>>> --<br>
>>> ---------------------<br>
>>> Gershon Bialer<br>
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<br>
<br>
<br>
--<br>
---------------------<br>
Gershon Bialer<br>
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</font></span></blockquote></div><br></div>