Improved Deep Speaker Feature Learning for Text-Dependent Speaker Recognition
Table 1: Performance of baseline systems
['[EMPTY]', 'Phrase', 'EER% cosine', 'EER% LDA', 'EER% PLDA']
It can be seen that the i-vector system generally outperforms the d-vector system in a significant way. Particularly, the discriminative methods (LDA and PLDA) clearly improves the i-vector system, however for the d-vector system, no improvement was found by these methods. This is not surprising, since the d-vectors have been discriminative by themselves. For this reason, LDA and PLDA are not considered any more for d-vectors in the following experiments.