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For nueral networks, the idea is to reduce the amount of estimate error based on iteratively training on a certain amount of examples. So when you first traing with noisy sets, you can view this as some sort of coarse tuning of the neural nets. Then with noiseless sets, it further fine tunes...
code cocktail party problem
Hi Jkormanski,
Could you give a little background on the mixing matrix that you chose. I understand that sound sources further away will be less heard compared to nearer sound sources. So that makes sense by using the mixing matrix to attenuate the different sound...
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