Blind source separation

[~BURNY~]

http://www.cnl.salk.edu/~tewon/Blind/blind_audio.html
Any thoughts? Sound examples are not perfect but...Could be the future...

 

[black sugar]

We present methods to separate blindly mixed signals recorded in a room. The learning algorithm is based on the information maximization in a single layer neural network. We focus on the implementation of the learning algorithm and on issues that arise when separating speakers in room recordings. We used an infomax approach in a feedforward neural network implemented in the frequency domain using the polynomial filter matrix algebra technique. Fast convergence speed was achieved by using a time-delayed decorrelation method as a preprocessing step. Under minimum-phase mixing conditions this preprocessing step was sufficient for the separation of signals. These methods successfully separated a recorded voice with music in the background (cocktail party problem).


I think I just had an aneurysm.


Pretty amazing though. Do you think they'll make me a plugin like James did?

 

[Genius Gone Insane]

I think that's potentially pretty effing powerful.