Deep Speaker Embedding Learning with Multi-Level Pooling for Text-Independent Speaker Verification
Table 4: Evaluation results on the SRE18 (CMN2) dev set
['[ITALIC] λ', 'model', 'EER', '[ITALIC] DCF(0.01)', '[ITALIC] DCF(0.005)']
Similar to SRE16 results, model MP achieves the best result: 9.3% EER reduction and 12% to 14% DCF score reduction are achieved when regularization is applied.