[ml] Tonight

[Ian Esten]

I'm very interested in ml and sound. I'm out of town this week, but I hope people are interested in continuing with all of this!

Ian

On Mar 18, 2012, at 10:05 PM, Mike Schachter <mschachter at eigenminds.com> wrote:

> 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
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