Dear all
After talking to @rodrigo.constanzo and thinking in this other super long thread, I came up with this idea, which is just showing how to do just-in-time processing of a short moment in a circular buffer. This is fast, and I decided to train an nmf~ on 3 potential classes (excuse the fat synth drums).
I think the patch is documented enough to understand what is happening, but here it goes again, just to make sure it is as clear as possible.
- the sound is recorded in a circular buffer.
- when an attack is detected, there is a snapshot of the index where it is situated
- that index is used to trigger the non-real-time bufnmf process. the process is done on 128 samples following the attack, with a fft of 128 and 64 overlap. We get 3 frames, and the middle one is centred on the audio.
There are 2 different branches of the nmf process: 1) a training one, and 2) a classifying one
- the training branch will make a single rank bufnmf, that is updating its filter with training material,
- it is then copied to a classifying filter at the right position (the patch has 3)
The classifying branch takes the 3 rank filter created by 3 iterations of the training above, one for each channel/rank. It does not update but tries to factorise the input with the 3 seeded filters, and give 3 activations. What I do then is to check the amplitude of each activation, and trigger the same synth sound on the right channel. It is late, but most of the time the same, so we have a classifier!
It is far from perfect, but loads of fun. There are better classifier out there, but this should allow you to find some sort of fun parameters to play with.
----------begin_max5_patcher----------
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-----------end_max5_patcher-----------