CN-Celeb: a challenging Chinese speaker recognition dataset
Table 4: EER(%) results of the i-vector and x-vector systems trained on VoxCeleb and evaluated on three evaluation sets.
['System', 'Training Set Front-end', 'Training Set Back-end', 'Evaluation Set SITW', 'Evaluation Set SITW(S)', 'Evaluation Set CN-Celeb(E)']
It can be observed that for both the i-vector system and the x-vector system, the performance on CN-Celeb(E) is much worse than the performance on SITW and SITW(S). This indicates that there is big difference between these two datasets. From another perspective, it demonstrates that the model trained with VoxCeleb does not generalize well, although it has achieved reasonable performance on data from a similar source (SITW).