%A Thang, Ta Bao %A Binh, Huynh Thi Thanh %D 2022 %T SV - VLSP 2021: Combine Attentive Statistical Pooling-based Xvector and Pretrained ECAPA-TDNN for Vietnamese Text-Independent Speaker Verification %K %X Recently, Xvectors and ECAPA-TDNN have been considered state-of-the-art models in designing speaker verification systems. This paper proposes a novel approach that combines Attentive statistic pooling-based Xvector and pre-trained ECAPA-TDNN for Vietnamese speaker verification. Experiments are conducted on various recent Vietnamese speech datasets. The results portrayed that our proposed combination outperformed all constitutive models with 4% to 37% relative EER improvement and ranked second place in Task 2 of the 2021 VLSP Speaker Verification competition. %U //jcsce.vnu.edu.vn/index.php/jcsce/article/view/320 %J VNU Journal of Science: Computer Science and Communication Engineering %0 Journal Article %R 10.25073/2588-1086/vnucsce.320 %V 38 %N 1 %@ 2588-1086 %8 2022-06-30