Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification
Table 3: DCF scores for SRE16 (pooled) test set
['model', '[ITALIC] λ=0  [ITALIC] p=0.01', '[ITALIC] λ=0  [ITALIC] p=0.005', '[ITALIC] λ=0.001  [ITALIC] p=0.01', '[ITALIC] λ=0.001  [ITALIC] p=0.005']
Overall, comparing the result from our proposed model MP with regularization, against the baseline x-vector model, we observe a relative 19% EER reduction. There is a 14.6% and 12.3% DCF score reduction compared with the baseline for Ptarget = 0.01 and 0.005 respectively.