[ml] Tonight

[Mike Schachter]

Ok, I'll put it on the calendar and announce
it to the group then. Here's a giant list of sound
tools in python, some of which are relevant for
mp3s:

http://wiki.python.org/moin/PythonInMusic



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