Deepfake Detection System for the ADD Challenge Track 3.2 Based on Score Fusion

no code implementations • 13 Oct 2022 • Yuxiang Zhang, Jingze Lu, Xingming Wang, Zhuo Li, Runqiu Xiao, Wenchao Wang, Ming Li, Pengyuan Zhang

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.

Data Augmentation DeepFake Detection +1

The DKU-OPPO System for the 2022 Spoofing-Aware Speaker Verification Challenge

no code implementations • 15 Jul 2022 • Xingming Wang, Xiaoyi Qin, Yikang Wang, Yunfei Xu, Ming Li

For CM systems, we propose two methods on top of the challenge baseline to further improve the performance, namely Embedding Random Sampling Augmentation (ERSA) and One-Class Confusion Loss(OCCL).

Speaker Verification