Search Results for author:
Found 2 papers, 0 papers with code
Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion
The overfitting of the model to the training set leads to extreme values of the scores and low correlation of the score distributions, which makes score fusion difficult.
Adaptive Margin Circle Loss for Speaker Verification
Deep-Neural-Network (DNN) based speaker verification sys-tems use the angular softmax loss with margin penalties toenhance the intra-class compactness of speaker embeddings, which achieved remarkable performance.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
