on top of CPC features however the authors found that if you put an MLP instead of a linear classifier you can actually get pretty close to 74% with just CPC features no fine-tuning so this means that the information may not be linearly separable but all the useful information for performing foreign classification is there the CPC like the uncovered features and on the right you see a positions for phoneme classification experiments and the the point I mentioned earlier is are really illustrated well here where depending on