where you take the negative samples from it you're going to get different levels of results so if you if you if all if your negatives are all coming from the same speaker the accuracy is like sixty five point five percent that's that's basically for that that means that the models like learning only phoneme relevant features it's not trying to do speaker and if occation whereas if you are if your negatives are all coming from mixed speaker so that that's going to get sixty four point six percent which is the result on the left table so