End-to-end speaker verification via curriculum bipartite ranking weighted binary cross-entropy
End-to-end speaker verification achieves the verification through estimating directly the
similarity score between a pair of utterances, which is formulated as a binary (ie, target …
similarity score between a pair of utterances, which is formulated as a binary (ie, target …
Meta-generalization for domain-invariant speaker verification
Automatic speaker verification (ASV) exhibits unsatisfactory performance under domain
mismatch conditions owing to intrinsic and extrinsic factors, such as variations in speaking …
mismatch conditions owing to intrinsic and extrinsic factors, such as variations in speaking …
Learning domain-invariant transformation for speaker verification
Automatic speaker verification (ASV) faces domain shift caused by the mismatch of intrinsic
and extrinsic factors such as recording device and speaking style in real-world applications …
and extrinsic factors such as recording device and speaking style in real-world applications …
Lightweight Speaker Verification Using Transformation Module with Feature Partition and Fusion
Y Li, Z Jiang, Q Huang, W Cao… - IEEE/ACM Transactions on …, 2023 - ieeexplore.ieee.org
Although many efforts have been made on decreasing the model complexity for speaker
verification, it is still challenging to deploy speaker verification systems with satisfactory …
verification, it is still challenging to deploy speaker verification systems with satisfactory …
Within-and Between-Class Sample Interpolation Based Supervised Metric Learning for Speaker Verification
JT Zhang, HY Song, W Guo, Y Song, LR Dai - National Conference on …, 2023 - Springer
Metric learning aims to pull together the samples belonging to the same class and push
apart those from different classes in embedding space. Existing methods may suffer from …
apart those from different classes in embedding space. Existing methods may suffer from …