[PD] Machine learning and sound ?

[Thomas Grill]

Please note that most applications of neural nets are non-realtime, e.g. not in the same domain as Pure Data.
The evaluation of neural networks can be, but the training never is.
best, Thomas

> Am 21.07.2016 um 14:37 schrieb Lorenzo Sutton <lorenzofsutton at gmail.com>:
> 
> On 21/07/2016 12:08, Pierre Massat wrote:
>> Dear List,
>> 
>> I did a little bit of machine learning with neural network when I was in
>> school, and I'd like to try it on sounds. What I'd like to do is to
>> identify patterns, types of sounds, like "people talking", "loud,
>> compressed rock music", etc.
> 
> If I understand correctly, maybe the keyword you're after is "automatic music classification"? (to which you could add e.g. "machine learning" "pure data" etc.).
> In this case there is loads of stuff... A good starting point (other than google) could be: http://www.ismir.net/society.html
> 
> Hope this helps.
> Lorenzo.
> 
>> 
>> Is that feasible ? I found this library on the web :
>> https://github.com/Cycling74/ml-lib
>> But I have no clue how to use it.
>> 
>> Do you have any suggestions on where to start ? Can I feed it sound
>> files ? Or do I need to extract some "indicators" from it (loudness,
>> spectrum, or something) ?
>> 
>> Thanks in advance for your help !
>> 
>> Cheers,
>> 
>> Pierre.
>> 
>> 
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