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x-vector test phase: x-vectors are computed for each test subject from their MFCCs, then compared to the average x-vectorPD and x-vectorHC. For the comparison we used cosine similarity (alone or after LDA projection) and PLDA. The sigmoid of the difference between similarity scores provides the classification score. VAD, voice activity detection; CMS, cepstral mean subtraction; DNN, deep neural network.
