Convert GMM-UBM scores to equicalent accuracy percent
问题 I have constructed a GMM-UBM model for the speaker recognition purpose. The output of models adapted for each speaker some scores calculated by log likelihood ratio. Now I want to convert these likelihood scores to equivalent number between 0 and 100. Can anybody guide me please? 回答1: There is no straightforward formula. You can do simple things like prob = exp(logratio_score) but those might not reflect the true distribution of your data. The computed probability percentage of your samples